Communications engineering / telecommunications Books

Book SynopsisThis book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation. It also explores the idea of energy-efficient computing for network and data security and covers the security threats involved in social networks, data centers, IoT, and biomedical applications. Green Computing in Network Security: Energy Efficient Solutions for Business and Home includes analysis of green-security mechanisms and explores the role of green computing for secured modern internet applications. It discusses green computing-based distributed learning approaches for security and emphasizes the development of green computing-based security systems for IoT devices.Written with researchers, academic libraries, and professionals in mind so they can get up to speed on network security, the challenges, and implementation processes.Table of Contents1. Analysis of Green-Security Mechanisms for Future Networks. 2. Design of Green-Aware Security Mechanisms for Modern Internet Applications. 3. Data Security in Green Computing Platforms for Biomedical Systems. 4. Green Computing for Cryptography and Cryptanalysis. 5. Distributed Learning Approaches for Security. 6. Green –Aware ML and Data Mining for Network Protection. 7. Privacy Preserving Green Computing for Social Networks. 8. Malicious Use of Machine Learning in Green ICT. 9. Green Computing Based IoT Security.

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Book SynopsisThis edition aims to expand on the first edition and take the reader through to the wave equation on coaxial cable and free-space by using Maxwell's equations. The new chapters include time varying signals and fundamentals of Maxwell''s equations. This book will introduce and discuss electromagnetic fields in an accessible manner. The author explains electroconductive fields and develops ideas relating to signal propagation and develops Maxwell's equations and applies them to propagation in a planar optical waveguide. The first of the new chapters introduces the idea of a travelling wave by considering the variation of voltage along a coaxial line. This concept will be used in the second new chapter which solves Maxwell's equations in free-space and then applies them to a planar optical waveguide in the third new chapter. As this is an area that most students find difficult, it links back to the earlier chapters to aid understanding. This book is intended for first- and seTable of Contents1. Introduction. 2. Electrostatic Fields. 3. Electromagnetic Fields. 4. Electroconductive Fields. 5. Comparison of Field Equations. 6. Dielectrics. 7. Ferromagnetic Materials and Components. 8. Waves in Transmission Lines. 9. Maxwell’s Equations and Electromagnetic Waves. 10. The Planar Optical Waveguide. Problems Bibliography Index

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Book SynopsisPeer-to-peer networking is a disruptive technology for large scale distributed app- cations that has recently gained wide interest due to the successes of peer-to-peer (P2P) content sharing, media streaming, and telephony applications.Trade ReviewFrom the reviews:“This handbook serves as a foundation work on P2P networks covering a broad spectrum of topics … . Within each subject area, many notable researchers contribute their seminal work to make up the contents. Hence this volume is invaluable not only to those primarily doing research in P2P network technologies, but also to those interested in network-related issues and their impact on society. Summing Up: Recommended. Graduate students and above.” (J. Y. Cheung, Choice, Vol. 48 (1), September, 2010)Table of ContentsPart 1: Introduction to Peer-to-Peer Networking: Peer-to-Peer Networking and Applications: Synopsis and Research Directions John Buford, Heather Yu.- The social impact of P2P systems Andrea Glorioso, Ugo Pagallo, Giancarlo Ruffo.- From Client- Server to P2P Networking Lu Liu, Nick Antonopoulos.- Examining the Use of Peer-to-Peer Networks from an Activity Perspective Jorn De Boever, Dirk De Groof.- Part 2: Unstructured P2P Overlay Architectures: Unstructured Peer-to-Peer Network Architectures Xing Jin, S.-H. Gary Chan.- Exchanging Peers to Establish P2P Networks Mursalin Akon, Mohammad Towhidul Islam, Xuemin Shen, Ajit Singh.- Peer-to-Peer Topology Formation Using Random Walk Kin-Wah Kwong, Danny H.K. Tsang.- Semantic Social Overlay Networks Alexander Lser, Steffen Staab, Christoph Tempich.- Part 3: Structured P2P Overlay Architectures: Overview of Structured Overlay Algorithms Krishna Dhara, Yang Guo, Mario Kolberg, Xiaotao Wu.- Distributed Hash Tables: Design and Applications C.-F. Michael Chan, S.-H. Gary Chan, - The Gamut of Bootstrapping Mechanisms for Structured Overlay Networks Anwitaman Datta.- Network Aware DHT-based P2P Systems Marguerite Fayçal, Ahmed Serhrouchni.- On Adding Structure to Unstructured Overlay Networks João Leitão, Nuno A.Carvalho, José Orlando Pereira, Rui Oliveira, Luis Rodrigues.- Mathematical Modeling of Routing in DHTs Peter Kersch, Robert Szabo.- Part 4: Search and Query Processing: Keyword Search in Unstructured P2P Networks Dingyi Han, Yong Yu.- Distributed Search and Pattern Matching Reaz Ahmad, Raouf Boutaba.- Distributed Semantic Overlay Networks Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg, Michalis Vazirgiannis.- Self-adaptation and Self-organization for Search in Social-like Peer-to-Peer Networks LuLiu, Jie Xu, Duncan Russell, Zongyang Luo.- Data Sharing in P2P Systems Rabab Hayek, Guillaume Raschia, Patrick Valduriez, Noureddine Mouaddib.- Managing Linguistic Data Summaries in Advanced P2P Applications R.Hayek, G. Raschia, P. Valduriez, N. Mouaddib.- Case Study: Scoop for Partial Read from P2P Database Farnoush Banaei-Kashani, Cyrus Shahabi.- Part 5: Incentive Mechanisms: Incentive Mechanisms for Cooperation in Peer-to-Peer Networks Daniel A. G. Manzato, Nelson L. S. da Fonseca.- Bandwidth Trading as Incentive Kolja Eger, Ulrich Killat.- Part 6: Trust, Anonymity, and Privacy: Reputation-based Trust Management in Peer-to-Peer Systems: Taxonomy and Anatomy Loubna Mekouar, Youssef Iraqi, Raouf Boutaba.- P2P Reputation Management Through Social Networking Zoran Despotovic .- State of the Art in Trust and Reputation Models in P2P Networks Felix Gómez Mármol, Gregorio Martinez Pérez.- Anonymity in P2P Systems Pilar Manzanares-Lopez, Juan Pedro Muñoz-Gea, Josemaria Malgosa-Sanahuja, Juan Carlos Sanchez-Aarnoutse.- Private Peer-to-Peer Network Michael Rogers, Saleem Bhatti.- Part 7: Broadcast and Multicast Services: Gossip-based Broadcast João Leitão, José Pereira, Luís Rodrigues.- Employing Multicast in P2P Overlay Networks Mario Kolberg.- Multicast Services Over Structured P2P Networks P. Manzanares-Lopez, J. Malgosa-Sanahuja, J.P. Muñoz-Gea, J. Sanchez-Aarnoutse.- Multicast Routing in Structured Overlays and Hybrid Networks Matthias Wählisch, Thomas C. Schmidt.- Multicast and Bulk Lookup in Structured Overlay Networks Ali Ghodsi.-Part 8: Multimedia Content Delivery: Peer-to-Peer Content Distribution and Over-The-Top TV: An Analysis of Value Networks J. De Boever, D. De Grooff.- Live video and IP-TV Maria Luisa Merani, Daniela Saladino.- Providing VoD streaming using P2P networks J. P. Muñoz-Gea, J. Malgosa-Sanahuja, P. Manzanares-Lopez, J. C. Sanchez-Aarnoutse.- Part 9: Mobile P2P: Peer-to-Peer Overlay in Mobile Ad-hoc Networks Marcel C. Castro, Andreas J. Kassler, Carla-Fabiana Chiasserini, Claudio Casetti, Ibrahim Korpeoglu.- Opportunistic Information Retrieval in Sparsely Connected Ad Hoc Networks Mooi-Choo Chuah, Jian-bin Han.- The MOBI-DIK Approach to

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Book SynopsisComputer Simulation.- Basic Probability.- Conditional Probability.- Discrete Random Variables.- Expected Values for Discrete Random Variables.- Multiple Discrete Random Variables.- Conditional Probability Mass Functions.- Discrete N-Dimensional Random Variables.- Continuous Random Variables.- Expected Values for Continuous Random Variables.- Multiple Continuous Random Variables.- Conditional Probability Density Functions.- Continuous N-Dimensional Random Variables.- Probability and Moment Approximations Using Limit Theorems.- Basic Random Processes.- Wide Sense Stationary Random Processes.- Linear Systems and Wide Sense Stationary Random Processes.- Multiple Wide Sense Stationary Random Processes.- Gaussian Random Processes.- Poisson Random Processes.- Markov Chains.Trade ReviewFrom the reviews:"The book is composed of 22 chapters. … This is a very readable book. … Kay’s book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well. … It is written in a clear and informal style that students will appreciate, its coverage is excellent, and the author’s stated objective (to lessen the difficulty that students usually experience assimilating and applying probability and random processes) will, I predict, be met." (Ralph P. Russo, The American Statistician, Vol. 62 (2), May, 2008)“Kay’s book occupies a unique place in the overcrowded market of textbooks on probability and random processes. … This new textbook is a breath of fresh air in the market of books devoted to probability and random processes. The book lives up to its ambition of setting a new standard for a modern, computer-based treatment of the subject. … I fully recommend its use in undergraduate and first-year graduate courses.” (Osvaldo Simeone, IEEE Control Systems Magazine, Vol. 27, June, 2007)Table of ContentsComputer Simulation.- Basic Probability.- Conditional Probability.- Discrete Random Variables.- Expected Values for Discrete Random Variables.- Multiple Discrete Random Variables.- Conditional Probability Mass Functions.- Discrete N-Dimensional Random Variables.- Continuous Random Variables.- Expected Values for Continuous Random Variables.- Multiple Continuous Random Variables.- Conditional Probability Density Functions.- Continuous N-Dimensional Random Variables.- Probability and Moment Approximations Using Limit Theorems.- Basic Random Processes.- Wide Sense Stationary Random Processes.- Linear Systems and Wide Sense Stationary Random Processes.- Multiple Wide Sense Stationary Random Processes.- Gaussian Random Processes.- Poisson Random Processes.- Markov Chains.

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Book SynopsisFundamentals of System Design.- Radio Architectures and Design Considerations.- Receiver System Analysis and Design.- Transmitter System Analysis and Design.- Applications of System Design.Table of Contents1. Introduction. 1.1. Wireless Systems. 1.2. System Design Convergence. 1.3. Organization of This Book. -2. Fundamentals of System Design. 2.1. Linear Systems and Transformations. 2.2. Nonlinear System Representation and Analysis Approaches. 2.3. Noise and Random Process. 2.4. Elements of Digital Base-Band System. -3. Radio Architectures and Design Considerations. 3.1. Superheterodyne Architecture. 3.2. Direct Conversion (Zero IF) Architecture. 3.3. Low IF Architecture. 3.4. Band-Pass Sampling Radio Architecture. Appendix 3A. Intermodulation Distortion Formulas. Appendix 3B. Effective Interference Evaluation of Second Order Distortion Products. Appendix 3C. I and Q Imbalance and Image Rejection Formula. Appendix 3D. Estimation of ADC Equivalent Noise Figure.-4. Receiver System Analysis and Design. 4.1. Introduction. 4.2. Sensitivity and Noise Figure of Receiver. 4.3. Intermodulation Characteristics. 4.4. Single Tone Desensitization. 4.5. Adjacent/Alternate Channel Selectivity and Blocking Characteristics. 4.6. Receiver Dynamic Range and AGC System. 4.7. System Design and Performance Evaluation. Appendix 4A. Conversion Between Power dBm and Electric Field Strength dBuV/m. Appendix 4B. Proof of Relationship (4.4.6) Appendix 4C. A Comparison of Wireless Mobile Station Minimum Performance Requirements. Appendix 4D. An Example of Receiver Performance Evaluation by Means of Matlab.-5. Transmitter System Analysis and Design. 5.1. Introduction. 5.2. Transmission Power and Spectrum. 5.3. Modulation Accuracy. 5.4. Adjacent and Alternate Channel Power. 5.5. Noise Emission Calculation. 5.6. Some Important Considerations in System Design. Appendix 5A. Approximate Relationship between p and EVM. Appendix 5B. Image Suppression of Transmission Signal. Appendix 5C. Amplifier Nonlinear Simulation: ACPR Calculation. -6. Applications of System Design. 6.1. Multimode and Multiband Superheterodyne Transceiver. 6.2. Direct Conversion Transceiver.

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Book SynopsisThis book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy.Trade ReviewFrom the reviews: "This book could serve as a reference in the general area of information theory and would be of interest to electrical engineers, computer engineers, or computer scientists with an interest in information theory. Each chapter has an appropriate problem set at the end and a brief paragraph that provides insight into the historical significance of the material covered therein. … Summing Up: Recommended. Upper-division undergraduate through professional collections." (J. Beidler, Choice, Vol. 46 (9), May, 2009) "The book consisting of 21 chapters is divided into two parts. Part I, Components of Information Theory … . Part II Fundamentals of Network Coding … . A comprehensive instructor’s manual is available. This is a well planned comprehensive book on the subject. The writing style of the author is quite reader friendly. … it is a welcome addition to the subject and will be very useful to students as well as to the researchers in the field." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1154, 2009)Table of ContentsThe Science of Information.- The Science of Information.- Fundamentals of Network Coding.- Information Measures.- Information Measures.- Zero-Error Data Compression.- Weak Typicality.- Strong Typicality.- Discrete Memoryless Channels.- Rate-Distortion Theory.- The Blahut–Arimoto Algorithms.- Differential Entropy.- Continuous-Valued Channels.- Markov Structures.- Information Inequalities.- Shannon-Type Inequalities.- Beyond Shannon-Type Inequalities.- Entropy and Groups.- Fundamentals of Network Coding.- The Max-Flow Bound.- Single-Source Linear Network Coding: Acyclic Networks.- Single-Source Linear Network Coding: Cyclic Networks.- Multi-source Network Coding.

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Book SynopsisFrom the reviews: "… The notes and problems at the end of each chapter are very helpful. […] In the final analysis, the book is definitely worth owning. […] It is an extremely well written – but unusual – book that I highly recommend for all physicists." The Physics TeacherTrade ReviewFrom the reviews:"… The notes and problems at the end of each chapter are very helpful. There are many quotable passages … In the final analysis, the book is definitely worth owning … It is an extremely well written – but unusual – book that I highly recommend for all physicists." The Physics Teacher FROM THE REVIEWS:ELECTRONIC DESIGN NEWS"Even though this 296-page textbook targets sophomore EE students, it has a place in the libraries of experienced Electrical Engineers. It does a good job not only of teaching the underlying theory of radio, but also of entertaining readers.”CHOICE MAGAZINE”Intended as a companion for students familiar with college physics and calculus and studying electrical engineering using AM radio theory, Nahin’s work takes a unique teaching approach. The 21 chapters are divided into four sections, sprinkled with humorous cartoons to pique reader interest…The work contains many fascinating ideas…Upper-division undergraduate; faculty; professional.”THE PHYSICS TEACHER"The book is unorthodox in many ways, from its presentation of the sophisticated mathematics of radio within the general chronology of the discovery and advance of radio art and technology to the inclusion of problems at the end of the appendices (I’m not certain I’ve ever seen that before!)…He never talks down to the reader (an elegant vocabulary is used) and seldom will a reader be bored. The notes and problems at the end of each chapter are very helpful. There are many quotable passages…In the final analysis, the book is definitely worth owning…It is an extremely well written – but unusual – book that I highly recommend for all physicists.”Table of ContentsWhat's new in the second edition. A Note to Professors. Prologue. 1. Solution to an Old Problem. 2. Pre-Radio History of Radio Waves. 3. Antenna as Launchers and Interceptors of Electromagnetic Waves. 4. Early Radio. 5. Receiving Spark Transmitter Signals. 6. Mathematics of AM Sidebands. 7. First Continuous Waves and Heterodyne Concept. 8. Birth of Electronics. 9. Fourier Series and Their Physical Meaning. 10. Convergence in Energy of the Fourier Series. 11. Radio Spectrum of a Spark-Gap Transmitter. 12. Fourier Integral Theorem, and the Continuous Spectrum of a Non-Periodic Time Signal. 13. Physical Meaning of the Fourier Transform. 14. Impulse 'Functions in Time and Frequency. 15. Convolution Theorem, Frequency Shifts, and Causal Time Signals. 16. Multiplying by Squaring and Filtering. 17. Squaring and Multiplying with Matched Nonlinearities. 18. Multiplying by 'Sampling and Filtering'. 19 Synchronous Demodulation and Its Problems. 20. Analytic Signals and Single-Sideband Radio. 21 Denoument. Epilogue. Technical Appendices: Complex Exponentials. Linear Time-Invariant Systems. Two-Terminal Components, Kirchoff's Circuit Laws, etc. Thevenin's and Norton's Theorems. Resonance in Electrical Circuits. Differential and Operational Amplifiers. Order of Integration and Differentiating an Integral. Fourier Theorem. Hilbert Integral Transform. Table of Fourier Transforms. Last Words. Indexes

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Book SynopsisThis volume deals with controllability and observability properties of nonlinear systems, as well as various ways to obtain input-output representations. The emphasis is on fundamental notions as (controlled) invariant distributions and submanifolds, together with algorithms to compute the required feedbacks. Table of Contents1 Introduction.- 2 Manifolds, Vectorfields, Lie Brackets, Distributions.- 3 Controllability and Observability, Local Decompositions.- 4 Input-Output Representations.- 5 State Space Transformation and Feedback.- 6 Feedback Linearization of Nonlinear Systems.- 7 Controlled Invariant Distribution and the Disturbance Decoupling Problem.- 8 The Input-Output Decoupling Problem.- 9 The Input-Output Decoupling Problem.- 10 Local Stability and Stabilization of Nonlinear Systems.- 11 Controlled Invariant Submanifolds and Nonlinear Zero Dynamics.- 12 Mechanical Nonlinear Control Systems.- 13 Controlled Invariance and Decoupling for General Nonlinear Systems.- 14 Discrete-Time Nonlinear Control Systems.

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Book SynopsisWritten by authors whose products have been deployed in service provider networks, Path Routing in Mesh Optical Networks combines both theoretical aspects as well as practical aspects of routing and dimensioning for mesh optical networks. The book covers most aspects of routing path-protected connections in restorable mesh optical networks.Trade Review"Lecturers of advanced-communications courses, graduate students, and researchers will profit most from reading this book." (IEEE Communications, October 2008)Table of ContentsList of Figures. List of Tables. Foreword. Preface. 1 Optical Networking. 1.1 Evolution of Optical Network Architectures. 1.1.1 Transparent Networks. 1.1.2 Opaque Networks. 1.1.3 Translucent Networks. 1.2 Layered Network Architecture. 1.2.1 Optical Layer. 1.2.2 Logical Layer. 1.2.3 Service/Application Layer. 1.3 Multi-Tier Optical Layer. 1.3.1 One-Tier Network Architecture. 1.3.2 Two-Tier Network Architecture. 1.3.3 Network Scalability. 1.4 The Current State of Optical Networks. 1.5 Organization of the Book. 2 Recovery in Optical Networks. 2.1 Introduction. 2.2 Failure Recovery. 2.3 Fault Recovery Classifications. 2.4 Protection of Point-to-Point Systems. 2.4.1 (1 + 1) Protection. 2.4.2 (1 : 1) Protection. 2.4.3 (M :N) Protection. 2.5 Ring-Based Protection. 2.5.1 Failure Recovery in SONET Networks with Ring Topologies. 2.5.2 Ring-Based Failure Recovery in Optical Networks with Mesh Topologies. 2.6 Path-Based Protection. 2.6.1 Dedicated Backup Path Protection (DBPP) in Mesh Networks. 2.6.2 Shared Back Path Protection (SBPP) in Mesh Networks. 2.7 Link/Span-Based Protection. 2.8 Segment-Based Protection. 2.9 Island-Based Protection. 2.10 Mesh Network Restoration. 2.10.1 Centralized Restoration Techniques. 2.10.2 Distributed Restoration Techniques. 2.11 Multi-Layer Recovery. 2.12 Recovery Triggers and Signaling Mechanisms. 2.13 Conclusion. 3 Mesh Routing and Recovery Framework. 3.1 Introduction. 3.2 Mesh Protection and Recovery Techniques. 3.2.1 Link-Based Protection. 3.2.2 Path-Based Protection. 3.2.3 Segment-Based Protection. 3.3 Concept of Shared Risk Groups. 3.3.1 Shared Link Risk Groups. 3.3.2 Shared Node Risk Groups. 3.3.3 Shared Equipment Risk Groups. 3.4 Centralized vs Distributed Routing. 3.4.1 Centralized Routing. 3.4.2 Distributed Routing. 3.4.3 Centralized vs Distributed Routing Performance Results. 3.5 Conclusion. 4 Path Routing and Protection. 4.1 Introduction. 4.2 Routing in Path-Protected Mesh Networks. 4.3 Protection in Path-Protected Mesh Networks. 4.3.1 Dedicated Backup Path-Protected Lightpaths. 4.3.2 Shared Backup Path-Protected Lightpaths. 4.3.3 Preemptible Lightpaths. 4.3.4 Diverse Unprotected Lightpaths with Dual-Homing. 4.3.5 Multiple Simultaneous Backup Path-Protected Lightpaths. 4.3.6 Relaxing the Protection Guarantees. 4.3.7 Impact of Multi-Port Card Diversity Constraints. 4.4 Experiments and Capacity Performance Results. 4.4.1 Performance Results for Path-Based Protection Techniques. 4.4.2 Experiments with Multi-Port Card Diversity. 4.5 Recovery Time Analysis. 4.6 Recovery Time and Capacity Trade-Offs. 4.7 Conclusion. 5 Path Routing – Part 1: Complexity. 5.1 Introduction. 5.2 Network Topology Abstraction. 5.2.1 Service Definition. 5.2.2 Operational Models: Online vs Offline Routing. 5.3 Shortest-Path Routing. 5.3.1 Dijkstra’s Algorithm. 5.3.2 Dijkstra’s Algorithm Generalization to K-Shortest Paths. 5.3.3 Shortest-Path Routing with Constraints. 5.4 Diverse-Path Routing. 5.4.1 SRG Types. 5.4.2 Diverse-Path Routing with Default SRGs. 5.4.3 Diverse-Path Routing with Fork SRGs. 5.4.4 Diverse-Path Routing with General SRGs. 5.5 Shared Backup Path Protection Routing. 5.5.1 Protection Guarantees and Rules of Sharing. 5.5.2 Complexity of Shared Backup Path Protection Routing. 5.6 Routing ILP. 5.6.1 ILP Description. 5.6.2 Implementation Experience. 5.7 Conclusion. 5.8 Appendix. 5.8.1 Complexity of Diverse-Path Routing with General SRGs. 5.8.2 Complexity of SBPP Routing. 6 Path Routing – Part 2: Heuristics. 6.1 Introduction. 6.1.1 Operational Models: Centralized vs Distributed Routing. 6.1.2 Topology Modeling Example. 6.2 Motivating Problems. 6.2.1 Heuristic Techniques. 6.3 K-Shortest Path Routing. 6.3.1 Yen’s K-Shortest Path Algorithm. 6.3.2 Constrained Shortest-Path Routing. 6.4 Diverse-Path Routing. 6.4.1 Best-Effort Path Diversity. 6.5 Shared Backup Path Protection Routing. 6.5.1 Sharing-Independent Routing Heuristic. 6.5.2 Sharing-Dependent Routing Heuristic. 6.6 Routing Preemptible Services. 6.7 General Constrained Routing Framework. 6.7.1 Implementation Experience. 6.8 Conclusion. 7 Enhanced Routing Model for SBPP Services. 7.1 Introduction. 7.2 Routing Metric. 7.3 Routing Algorithm. 7.4 Experiments. 7.4.1 Effect of . 7.4.2 Effect of α. 7.5 Conclusion. 8 Controlling Sharing for SBPP Services. 8.1 Introduction. 8.2 Express Links. 8.2.1 Routing with Express Links. 8.2.2 Analysis and Results. 8.2.3 Express Links–Conclusion. 8.3 Limiting Sharing. 8.3.1 Example. 8.3.2 Solution Alternatives. 8.3.3 Analysis of Capping. 8.3.4 Analysis of Load-Balancing. 8.3.5 Limiting Sharing–Conclusion. 8.4 Analysis of Active Reprovisioning. 8.4.1 Evaluation of Active Reprovisioning. 8.4.2 Active Reprovisioning–Conclusion. 8.5 Conclusion. 9 Path Computation with Partial Information. 9.1 Introduction. 9.2 Complexity of the Deterministic Approach. 9.2.1 Complexity of the Failure Dependent Strategy. 9.2.2 Complexity of the Failure Independent Strategy. 9.3 Probabilistic Approach. 9.3.1 A Problem of Combinations. 9.3.2 Analogy with SRG Arrangement into a Set of Backup Channels. 9.4 Probabilistic Routing Algorithm with Partial Information. 9.5 Locally Optimized Channel Selection. 9.5.1 Shared Mesh Protection Provisioning Using Vertex Coloring. 9.5.2 Implementation and Applications. 9.6 Required Extensions to Routing Protocols. 9.7 Experiments and Performance Results. 9.7.1 Accuracy and Distributions of Probability Functions. 9.7.2 Comparison of Deterministic vs ProbabilisticWeight Functions on Real Networks. 9.7.3 Benefits of Locally Optimized Lightpath Provisioning. 9.7.4 Summary. 9.8 Conclusion. 10 Path Reoptimization. 10.1 Introduction. 10.2 Routing Algorithm. 10.2.1 Cost model. 10.2.2 Online Routing Algorithm. 10.3 Reoptimization Algorithm. 10.4 The Complexity of Reoptimization. 10.4.1 No Prior Placement of Protection Channels or Primary Paths. 10.4.2 Prior Placement of Protection Channels or Primary Paths. 10.5 Experiments. 10.5.1 Calibration. 10.5.2 Real Networks. 10.5.3 Static Network Infrastructure. 10.5.4 Growing Network Infrastructure. 10.5.5 Network Dynamics. 10.6 Conclusion. 11 Dimensioning of Path-Protected Mesh Networks. 11.1 Introduction. 11.2 Network and Traffic Modeling. 11.3 Mesh Network Characteristics. 11.3.1 Path Length Analysis. 11.3.2 Protection-to-Working Capacity Ratio Analysis. 11.3.3 Sharing Analysis. 11.4 Asymptotic Behavior of the Protection-to-Working Capacity Ratio. 11.4.1 Examples. 11.4.2 General Results. 11.5 Dimensioning Mesh Optical Networks. 11.5.1 Node Model and Traffic Conservation Equations. 11.5.2 Dimensioning Examples and Results. 11.6 The Network Global Expectation Model. 11.7 Accuracy of Analytical Estimates. 11.8 Recovery Time Performance. 11.9 Conclusion. 12 Service Availability in Path-Protected Mesh Networks. 12.1 Introduction. 12.2 Network Service Availability. 12.2.1 Motivation. 12.2.2 Focus on Dual-Failure Scenarios. 12.2.3 Reliability and Availability. 12.3 Service Availability in Path-Protected Mesh Networks. 12.3.1 Dual-Failure Recoverability. 12.3.2 A Markov Model Approach to Service Availability. 12.3.3 Modeling Sharing of Backup Channels. 12.3.4 Impact of Channel Protection. 12.3.5 Impact of Reprovisioning. 12.4 Availability in Single and Multiple Domains. 12.4.1 Network Recovery Architecture–Single Domain. 12.4.2 Network Recovery Architecture–Multiple Domains. 12.4.3 Results and Discussion. 12.4.4 A Simple Model. 12.5 Availability in Ring and Path-Protected Networks. 12.5.1 Ring Availability Analysis. 12.5.2 Results and Discussion. 12.5.3 The Simple Model Again. 12.6 Conclusion. Bibliography. Index.

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Book SynopsisCoding for MIMO Communication Systems is a comprehensive introduction and overview to the various emerging coding techniques developed for MIMO communication systems. The basics of wireless communications and fundamental issues of MIMO channel capacity are introduced and the space-time block and trellis coding techniques are covered in detail.Table of ContentsAbout the Authors. Preface. List of Figures. List of Tables. Notation. Abbreviations. 1 Overview. 1.1 Need for MIMO Systems. 1.2 MIMO Communications in Wireless Standards . 1.3 Organization of the Book. 1.4 Other Topics in MIMO Systems. 2 Fading Channels and Diversity Techniques. 2.1 Wireless Channels. 2.1.1 Path Loss, Shadowing and Small Scale Fading. 2.1.2 Fading Channel Models. 2.2 Error/Outage Probabilities over Fading Channels. 2.2.1 Outage Probability for Rayleigh Fading Channels. 2.2.2 Average Error Probabilities over Rayleigh Fading Channels. 2.2.3 Extensions to Other Fading Channels. 2.2.4 Performance over Frequency Selective Fading Channels. 2.3 Diversity Techniques. 2.3.1 Types of Diversity. 2.3.2 System Model for Lth Order Diversity. 2.3.3 Maximal Ratio Combining (MRC). 2.3.4 Suboptimal Combining Algorithms. 2.3.5 Selection Combining. 2.3.6 Examples. 2.4 Channel Coding as a Means of Time Diversity. 2.4.1 Block Coding over a Fully Interleaved Channel. 2.4.2 Convolutional Coding. 2.5 Multiple Antennas in Wireless Communications. 2.5.1 Receive Diversity. 2.5.2 Smart Antennas and Beamforming. 2.6 Chapter Summary and Further Reading . 3 Capacity and Information Rates of MIMO Channels. 3.1 Capacity and Information Rates of Noisy Channels. 3.2 Capacity and Information Rates of AWGN and Fading Channels. 3.2.1 AWGN Channels. 3.2.2 Fading Channels. 3.3 Capacity of MIMO Channels. 3.3.1 Deterministic MIMO Channels. 3.3.2 Ergodic MIMO Channels. 3.3.3 Non-Ergodic MIMO Channels and Outage Capacity. 3.3.4 Transmit CSI for MIMO Fading Channels. 3.4 Constrained Signaling for MIMO Communications. 3.5 Discussion: Why Use MIMO Systems? 3.6 Chapter Summary and Further Reading. 4 Space-Time Block Codes. 4.1 Transmit Diversity with Two Antennas: The Alamouti Scheme. 4.1.1 Transmission Scheme. 4.1.2 Optimal Receiver for the Alamouti Scheme. 4.1.3 Performance Analysis of the Alamouti Scheme. 4.1.4 Examples. 4.2 Orthogonal Space-Time Block Codes. 4.2.1 Linear Orthogonal Designs. 4.2.2 Decoding of General Space-Time Block Codes. 4.2.3 Performance Analysis of Space-Time Block Codes. 4.2.4 Examples. 4.3 Quasi-Orthogonal Space-Time Block Codes. 4.4 Linear Dispersion Codes. 4.5 Chapter Summary and Further Reading. 5 Space-Time Trellis Codes. 5.1 A Simple Space-Time Trellis Code. 5.2 General Space-Time Trellis Codes. 5.2.1 Notation and Preliminaries. 5.2.2 Decoding of Space-Time Trellis Codes. 5.3 Basic Space-Time Code Design Principles. 5.3.1 Pairwise Error Probability. 5.3.2 Space-Time Code Design Principles. 5.3.3 Examples of Good Space-Time Codes. 5.3.4 Space-Time Trellis Codes for Fast Fading Channels. 5.4 Representation for Space-Time Trellis Codes for PSK Constellations. 5.4.1 Generator Matrix Representation. 5.4.2 Improved Space-Time Code Design. 5.5 Performance Analysis for Space-Time Trellis Codes. 5.5.1 Union Bound for Space-Time Trellis Codes. 5.5.2 Useful Performance Bounds for Space-Time Trellis Codes. 5.5.3 Examples. 5.6 Comparison of Space-Time Block and Trellis Codes. 5.7 Chapter Summary and Further Reading. 6 Layered Space-Time Codes. 6.1 Basic Bell Labs Layered Space-Time (BLAST) Architectures. 6.1.1 VBLAST/HBLAST/SCBLAST. 6.1.2 Detection Algorithms for Basic BLAST Architectures. 6.1.3 Examples. 6.2 Diagonal BLAST (DBLAST). 6.2.1 Detection Algorithms for DBLAST. 6.2.2 Examples. 6.3 Multilayered Space-Time Coding. 6.3.1 Encoder Structure. 6.3.2 Group Interference Cancellation Detection. 6.3.3 Example. 6.4 Threaded Space-Time Codes. 6.4.1 Layering Approach. 6.4.2 Threaded Space-Time Code Design. 6.4.3 Example. 6.4.4 Detection of Threaded Space-Time Codes. 6.5 Other Detection Algorithms for Spatial Multiplexing Systems. 6.5.1 Greedy Detection. 6.5.2 Belief Propagation Detection. 6.5.3 Turbo-BLAST Detection. 6.5.4 Reduced Complexity ZF/MMSE Detection. 6.5.5 Sphere Decoding. 6.6 Diversity/Multiplexing Gain Trade-off . 6.7 Chapter Summary and Further Reading. 7 Concatenated Codes and Iterative Decoding. 7.1 Development of Concatenated Codes. 7.2 Concatenated Codes for AWGN Channels. 7.2.1 Encoder Structures. 7.2.2 Iterative Decoder Structures. 7.2.3 The SOVA Decoder. 7.2.4 Performance with Maximum Likelihood Decoding. 7.2.5 Examples. 7.3 Concatenated Codes for MIMO Channels. 7.3.1 Concatenated Space-Time Turbo Coding Scheme. 7.3.2 Turbo Space-Time Trellis Coding Scheme. 7.3.3 Turbo Space-Time Coding Scheme. 7.4 Turbo Coded Modulation for MIMO Channels. 7.4.1 Encoder Structure. 7.4.2 Decoder Structure. 7.4.3 Examples. 7.5 Concatenated Space-Time Block Coding. 7.5.1 Encoder Structure. 7.5.2 Decoder Structure. 7.5.3 Performance Analysis. 7.5.4 Examples. 7.6 Chapter Summary and Further Reading. 8 Unitary and Differential Space-Time Codes. 8.1 Capacity of Noncoherent MIMO Channels. 8.1.1 Channel Capacity. 8.1.2 Capacity Achieving Signals. 8.2 Unitary Space-Time Codes. 8.2.1 USTC Encoder. 8.2.2 ML Detection of USTCs. 8.2.3 Performance Analysis. 8.2.4 Construction of Unitary Space-Time Signals. 8.2.5 Examples. 8.3 Differential Space-Time Codes. 8.3.1 Differential Space-Time Coding for Single Antenna Systems. 8.3.2 Differential Space-Time Coding for MIMO Systems. 8.4 Turbo Coded Unitary Space-Time Codes. 8.4.1 Encoder Structure. 8.4.2 Noncoherent Iterative Decoder. 8.4.3 Example. 8.5 Trellis Coded Unitary Space-Time Codes. 8.6 Turbo Coded Differential Space-Time Codes. 8.6.1 Encoder Structure. 8.6.2 Iterative Detectors. 8.7 Chapter Summary and Further Reading. 9 Space-Time Coding for Frequency Selective Fading Channels. 9.1 MIMO Frequency Selective Channels. 9.2 Capacity and Information Rates of MIMO Frequency Selective Fading Channels. 9.2.1 Information Rates with Gaussian Inputs. 9.2.2 Achievable Information Rates with Practical Constellations. 9.2.3 Examples. 9.3 Space-Time Coding for MIMO FS Channels. 9.3.1 Interpretation of MIMO FS Channels Using Virtual Antennas. 9.3.2 A Simple Full Diversity Code for MIMO FS Channels. 9.3.3 Space-Time Trellis Codes for MIMO FS Channels. 9.3.4 Concatenated Coding for MIMO FS Channels. 9.3.5 Spatial Multiplexing for MIMO FS Channels. 9.4 Channel Detection for MIMO FS Channels. 9.4.1 Linear Equalization for MIMO FS Channels. 9.4.2 Decision Feedback Equalization for MIMO FS Channels. 9.4.3 Soft Input Soft Output Channel Detection. 9.4.4 Other Reduced Complexity Approaches. 9.5 MIMO OFDM Systems. 9.5.1 MIMO-OFDM Channel Model. 9.5.2 Space-Frequency Coding. 9.5.3 Challenges in MIMO-OFDM. 9.6 Chapter Summary and Further Reading. 10 Practical Issues in MIMO Communications. 10.1 Channel State Information Estimation. 10.1.1 CSI Estimation Using Pilot Tones. 10.1.2 What to Do with CSI? 10.1.3 Space-Time Coding Examples with Estimated CSI. 10.2 Spatial Channel Correlation for MIMO Systems. 10.2.1 Measurements and Modeling of Spatial Correlation. 10.2.2 Spatial Channel Correlation Models. 10.2.3 Channel Capacity with Spatial Correlation. 10.2.4 Space-Time Code Performance with Spatial Correlation. 10.3 Temporal Channel Correlation. 10.4 MIMO Communication System Design Issues. 10.5 Chapter Summary and Further Reading. 11 Antenna Selection for MIMO Systems. 11.1 Capacity-based Antenna Selection. 11.1.1 System Model. 11.1.2 Optimal Selection. 11.1.3 Simplified (Suboptimal) Selection. 11.1.4 Examples. 11.2 Energy-based Antenna Selection. 11.3 Antenna Selection for Space-Time Trellis Codes. 11.3.1 Quasi-Static Fading Channels. 11.3.2 Block Fading Channels. 11.3.3 Fast Fading Channels. 11.3.4 Examples. 11.4 Antenna Selection for Space-Time Block Codes. 11.4.1 Receive Antenna Selection. 11.4.2 Transmit Antenna Selection. 11.4.3 Examples. 11.5 Antenna Selection for Combined Channel Coding and Orthogonal STBCs. 11.5.1 Performance Analysis. 11.5.2 Examples. 11.6 Antenna Selection for Frequency Selective Channels. 11.7 Antenna Selection with Nonidealities. 11.7.1 Impact of Spatial Correlation. 11.7.2 Example. 11.7.3 Impact of Channel Estimation Error. 11.8 Chapter Summary and Further Reading. Bibliography. Index.

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Book SynopsisThis best-selling, easy to read book offers the most complete discussion on the theories and principles behind today's most advanced communications systems. Throughout, Haykin emphasizes the statistical underpinnings of communication theory in a complete and detailed manner.Table of ContentsPreface vii Chapter 1 Prologue 1 1.1 The Communication Process 1 1.2 The Layered Approach 2 1.3 Theme Example—Wireless Communications 3 Notes and References 7 Chapter 2 Fourier Theory and Communication Signals 8 2.1 Introduction 8 2.2 The Fourier Transform 8 2.3 Properties of the Fourier Transform 14 2.4 The Inverse Relationship Between Time and Frequency 28 2.5 Dirac Delta Function 32 2.6 Fourier Transforms of Periodic Signals 39 2.7 Transmission of Signals Through Linear Systems 41 2.8 Filters 47 2.9 Low-Pass and Band-Pass Signals 52 2.10 Band-Pass Systems 57 2.11 Phase and Group Delay 60 2.12 Sources of Information 62 2.13 Numerical Computation of the Fourier Transform 64 2.14 Theme Example—Channel Estimation of a Wireless LAN Channel 66 2.15 Summary and Discussion 69 Notes and References 69 Problems 70 Chapter 3 Amplitude Modulation 74 3.1 Introduction 74 3.2 Amplitude Modulation 75 3.3 Double Sideband–Suppressed Carrier Modulation 83 3.4 Quadrature-Carrier Multiplexing 87 3.5 Single-Sideband and Vestigial-Sideband Methods of Modulation 88 3.6 Theme Example—VSB Transmission of Analog and Digital Television 92 3.7 Frequency Translation 93 3.8 Frequency-Division Multiplexing 94 3.9 Summary and Discussion 95 Notes and References 96 Problems 96 Chapter 4 Phase and Frequency Modulation 102 4.1 Introduction 102 4.2 Basic Definitions 102 4.3 Frequency Modulation 109 4.4 Phase-Locked Loop 127 4.5 Nonlinear Effects in FM Systems 133 4.6 The Superheterodyne Receiver 135 4.7 Theme Example—Analog and Digital FM Cellular Telephones 137 4.8 Summary and Discussion 139 Notes and References 140 Problems 140 Chapter 5 Random Variables and Processes 146 5.1 Introduction 146 5.2 Probability 147 5.3 Random Variables 151 5.4 Statistical Averages 156 5.5 Random Processes 161 5.6 Mean, Correlation, and Covariance Functions 162 5.7 Transmission of a Random Process Through a Linear Filter 168 5.8 Power Spectral Density 169 5.9 Gaussian Process 175 5.10 Noise 179 5.11 Narrowband Noise 186 5.12 Theme Example—Stochastic Model of a Mobile Radio Channel 193 5.13 Summary and Discussion 198 Notes and References 200 Problems 201 Chapter 6 Noise in Analog Modulation 207 6.1 Introduction 207 6.2 Receiver Model 207 6.3 Noise in DSB–SC Receivers 210 6.4 Noise in AM Receivers 212 6.5 Noise in FM Receivers 215 6.6 Pre-emphasis and De-emphasis in FM 226 6.7 Theme Example—Link Budget of FM Satellite Link 229 6.8 Summary and Discussion 233 Notes and References 235 Problems 235 Chapter 7 Digital Representation of Analog Signals 238 7.1 Introduction 238 7.2 Why Digitize Analog Sources? 239 7.3 The Sampling Process 240 7.4 Pulse-Amplitude Modulation 244 7.5 Time-Division Multiplexing 247 7.6 Pulse-Position Modulation 248 7.7 Theme Example—PPM in Impulse Radio 255 7.8 The Quantization Process 256 7.9 Pulse-Code Modulation 260 7.10 Delta Modulation 267 7.11 Theme Example—Digitization of Video and MPEG 271 7.12 Summary and Discussion 273 Notes and References 274 Problems 275 Chapter 8 Baseband Transmission Of Digital Signals 279 8.1 Introduction 279 8.2 Baseband Pulses and Matched Filter Detection 280 8.3 Probability of Error Due to Noise 285 8.4 Intersymbol Interference 290 8.5 Eye Pattern 294 8.6 Nyquist’s Criterion for Distortionless Transmission 296 8.7 Baseband M-ary PAM Transmission 301 8.8 Tapped-Delay-Line Equalization 302 8.9 Theme Example—100BASE-TX— Transmission of 100 Mbps Over Twisted Pair 305 8.10 Summary and Discussion 308 Notes and References 309 Problems 309 Chapter 9 Band-pass Transmission Of Digital Signals 313 9.1 Introduction 313 9.2 Band-Pass Transmission Model 314 9.3 Transmission of Binary PSK and FSK 316 9.4 M-ary Data Transmission Systems 327 9.5 Comparison of Noise Performances of Various PSK and FSK Systems 331 9.6 Theme Example—Orthogonal Frequency Division Multiplexing (OFDM) 333 9.7 Summary and Discussion 337 Notes and References 338 Problems 338 Chapter 10 Information and Forward Error Correction 342 10.1 Introduction 342 10.2 Uncertainty, Information, and Entropy 343 10.3 Source-Coding Theorem 347 10.4 Lossless Data Compression 348 10.5 Theme Example—The Lempel– Ziv Algorithm and File Compression 353 10.6 Discrete Memoryless Channels 355 10.7 Channel Capacity 357 10.8 Channel Coding Theorem 360 10.9 Capacity of a Gaussian Channel 363 10.10 Error Control Coding 366 10.11 Linear Block Codes 369 10.12 Convolutional Codes 379 10.13 Trellis-Coded Modulation 384 10.14 Turbo Codes 388 10.15 Summary and Discussion 393 Notes and References 394 Problems 395 Appendix Mathematical Tables 398 Glossary 405 Bibliography 409 Index 413

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Book SynopsisWhen Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: PsychoacTable of ContentsPREFACE TO THE 2011 EDITION xxi CHAPTER 1 INTRODUCTION 1 PART I HISTORICAL BACKGROUND CHAPTER 2 SYNTHETIC A UDIO: A BRIEF HISTORY 9 CHAPTER 3 SPEECH ANALYSIS AND SYNTHESIS OVERVIEW 21 CHAPTER 4 BRIEF HISTORY OF AUTOMATIC SPEECH RECOGNITION 40 CHAPTER 5 SPEECH-RECOGNITION OVERVIEW 59 PART II MATHEMATICAL BACKGROUND CHAPTER 6 DIGITAL SIGNAL PROCESSING 73 CHAPTER 7 DIGITAL FILTERSAND DISCRETE FOURIER TRANSFORM 87 CHAPTER 8 PATTERN CLASSIFICATION 105 CHAPTER 9 STATISTICAL PATTERN CLASSIFICATION 124 PART III ACOUSTICS CHAPTER 10 WAVE BASICS 141 CHAPTER 11 ACOUSTIC TUBE MODELING OF SPEECH PRODUCTION 152 CHAPTER 12 MUSICAL INSTRUMENT ACOUSTICS 158 CHAPTER 13 ROOM ACOUSTICS 179 PART IV AUDITORY PERCEPTION CHAPTER 14 EAR PHYSIOLOGY 193 CHAPTER 15 PSYCHOACOUSTICS 209 CHAPTER 16 MODELS OF PITCH PERCEPTION 218 CHAPTER 17 SPEECH PERCEPTION 232 CHAPTER 18 HUMAN SPEECH RECOGNITION 250 PART V SPEECH FEATURES CHAPTER 19 THE AUDITORY SYSTEM AS A FILTER BANK 263 CHAPTER 20 THE CEPSTRUM AS A SPECTRAL ANALYZER 277 CHAPTER 21 LINEAR PREDICTION 286 PART VI A UTOMATIC SPEECH RECOGNITION CHAPTER 22 FEATURE EXTRACTION FOR ASR 301 CHAPTER 23 LINGUISTIC CATEGORIES FOR SPEECH RECOGNITION 319 CHAPTER 24 DETERMINISTIC SEQUENCE RECOGNITION FOR ASR 337 CHAPTER 25 STATISTICAL SEQUENCE RECOGNITION 350 CHAPTER 26 STATISTICAL MODEL TRAINING 364 CHAPTER 27 DISCRIMINANT ACOUSTIC PROBABILITY ESTIMATION 381 CHAPTER 28 ACOUSTIC MODEL TRAINING: FURTHER TOPICS 394 CHAPTER 29 SPEECH RECOGNITION AND UNDERSTANDING 416 PART VII SYNTHESIS AND CODING CHAPTER 30 SPEECH SYNTHESIS 431 CHAPTER 31 PITCH DETECTION 455 CHAPTER 32 VOCODERS 473 CHAPTER 33 LOW-RATE VOCODERS 493 CHAPTER 34 MEDIUM-RATE AND HIGH-RATE VOCODERS 505 CHAPTER 35 PERCEPTUAL A UDIO CODING 531 PART VIII OTHER APPLICATIONS CHAPTER 36 SOME ASPECTS OF COMPUTER MUSIC SYNTHESIS 553 CHAPTER 37 MUSIC SIGNAL ANALYSIS 567 CHAPTER 38 MUSIC RETRIEVAL 581 CHAPTER 39 SOURCE SEPARATION 59 CHAPTER 40 SPEECH TRANSFORMATIONS 617 CHAPTER 41 SPEAKER VERIFICATION 633 CHAPTER 42 SPEAKER DIARIZATION 644

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Book SynopsisThis book provides a concise guide to the IP Multicast technology and its applications. It is an updated survey of the field with the underlying focus on IP-based Television (IPTV), and Digital Video Broadcast - Handheld (DVB-H) applications. Written by a well-known author with a proven track record in this field. .Table of ContentsPreface xiii About the Author xv 1 Introduction to Ip Multicast 1 1.1 Introduction 1 1.2 Why Multicast Protocols are Wanted/Needed 3 1.3 Basic Multicast Protocols and Concepts 5 1.4 IPTV and DVB-H Applications 11 1.5 Course of Investigation 21 Appendix 1.A: Multicast IETF Request for Comments 21 Appendix 1.B: Multicast Bibliography 23 References 23 2 Multicast Addressing for Payload 26 2.1 IP Multicast Addresses 26 2.1.1 Limited Scope Addresses 29 2.1.2 GLOP Addressing 30 2.1.3 Generic IPv4 Addressing 30 2.2 Layer 2 Multicast Addresses 31 2.2.1 Ethernet MAC Address Mapping 31 2.3 MPEG-Layer Addresses 33 References 38 3 Multicast Payload Forwarding 39 3.1 Multicasting on a LAN Segment 40 3.2 Multicasting between Network Segments 40 3.3 Multicast Distribution Trees 41 3.4 Multicast Forwarding: Reverse Path Forwarding 47 3.5 Multicast Forwarding: Center-Based Tree Algorithm 48 3.6 Implementing IP Multicast in a Network 49 References 50 4 Dynamic Host Registration—internet Group Management Protocol 51 4.1 IGMP Messages 52 4.2 IGMPv3 Messages 55 4.3 IGMP Operation 61 Appendix 4.A: Protocol Details for IGMPv 2 63 4.A.1 Overview 63 4.A.2 Protocol Description 64 4.A.3 Receiver (Host) State Diagram 65 4.A.4 Router State Diagram 69 Appendix 4.B: IGMP Snooping Switches 72 Appendix 4.C: Example of Router Configurations 76 References 77 5 Multicast Routing—sparse-mode Protocols: Protocol Independent Multicast 78 5.1 Introduction to PIM 79 5.2 PIM SM Details 83 5.2.1 Approach 86 5.2.2 PIM SM Protocol Overview 86 5.2.3 Detailed Protocol Description 94 5.2.4 Packet Formats 114 References 124 6 Multicast Routing—sparse-mode Protocols: Core-based Trees 125 6.1 Motivation 126 6.2 Basic Operation 127 6.3 CBT Components and Functions 129 6.3.1 CBT Control Message Retransmission Strategy 131 6.3.2 Nonmember Sending 131 6.4 Core Router Discovery 131 6.5 Protocol Specification Details 132 6.5.1 CBT HELLO Protocol 133 6.5.2 JOIN_REQUEST Processing 134 6.5.3 JOIN_ACK Processing 135 6.5.4 QUIT_NOTIFICATION Processing 135 6.5.5 ECHO_REQUEST Processing 136 6.5.6 ECHO_REPLY Processing 137 6.5.7 FLUSH_TREE Processing 137 6.5.8 Nonmember Sending 138 6.5.9 Timers and Default Values 138 6.5.10 CBT Packet Formats and Message Types 138 6.5.11 Core Router Discovery 142 6.6 CBT Version 3 145 6.6.1 The First Step: Joining the Tree 145 6.6.2 Transient State 146 6.6.3 Getting ‘‘On Tree’’ 146 6.6.4 Pruning and Prune State 147 6.6.5 The Forwarding Cache 147 6.6.6 Packet Forwarding 148 6.6.7 The ‘‘Keepalive’’ Protocol 148 6.6.8 Control Message Precedence and Forwarding Criteria 149 6.6.9 Broadcast LANs 149 6.6.10 The ‘‘all-cbt-routers’’ Group 150 6.6.11 Nonmember Sending 150 References 151 7 Multicast Routing—dense-mode Protocols: Pim Dm 152 7.1 Overview 152 7.2 Basic PIM DM Behavior 153 7.3 Protocol Specification 155 7.3.1 PIM Protocol State 156 7.3.2 Data Packet Forwarding Rules 158 7.3.3 Hello Messages 159 7.3.4 PIM DM Prune, Join, and Graft Messages 160 7.3.5 State Refresh 170 7.3.6 PIM Assert Messages 175 7.3.7 PIM Packet Formats 182 References 184 8 other Dense-mode Multicast Routing Protocols: Dvmrp and Mospf 185 8.1 Distance Vector Multicast Algorithm 185 8.1.1 Overview 185 8.1.2 Basic DVMRP Operation 186 8.2 Multicast OSPF 190 References 193 9 IP MULTICASTING IN IPv6 ENVIRONMENTS 194 9.1 Opportunities Offered by IPv 6 194 9.2 Introductory Overview of IPv 6 196 9.2.1 IPv6 Benefits 197 9.2.2 Traditional Addressing Classes for IPv 4 198 9.2.3 Network Address Translation Issues in IPv 4 199 9.2.4 IPv6 Address Space 200 9.2.5 Basic Protocol Constructs 201 9.2.6 IPv6 Autoconfiguration 204 9.3 Migration and Coexistence 208 9.4 Multicast with IPv 6 211 9.4.1 IPv6 Multicast Addresses 211 9.4.2 MAC Layer Addresses 211 9.4.3 Signaling 213 9.4.4 RP Approaches 213 References 213 10 Multicast Listener Discovery 215 10.1 Overview of MLDv 1 216 10.2 Message Format 216 10.3 Protocol Description 218 10.4 Node State Transition Diagram 220 10.5 Router State Transition Diagram 223 10.6 Overview of MLDv 2 226 10.6.1 Protocol Overview 227 10.6.2 Building Multicast Listening State on Multicast Address Listeners 228 10.6.3 Exchanging Messages between the Querier and the Listening Nodes 228 10.6.4 Building Multicast Address Listener State on Multicast Routers 230 10.7 Source Filtering 232 References 233 11 Iptv Applications 234 11.1 Overview and Motivation 234 11.2 Basic Architecture 236 11.2.1 Content Aggregation Subsystem 244 11.2.2 Uniform Transcoding Subsystem 245 11.2.3 Conditional-Access Management Subsystem 251 11.2.4 Encapsulation Subsystem 258 11.2.5 Long-Haul Distribution Subsystem 262 11.2.6 Local Distribution Subsystem 264 11.2.7 Middleware Subsystem 267 11.2.8 Set-Top Boxes 267 11.2.9 Catcher (for VoD Services) 269 Appendix 11.A: Serial Digital Interface Basics 269 Appendix 11.B: MPEG Basics 271 11.B.1 MPEG-2 Transport/Multiplexing Mechanisms 271 11.B.2 IPTV/IP Transmission over TS Logical Channels 279 11.B.3 Compression Technology 281 Appendix 11.C: Encapsulation for Transmission of IP Datagrams over MPEG-2/DVB Networks 298 References 300 12 Dvb-h: High-quality TV to Cell Phones 303 12.1 Background and Motivation 304 12.2 Basic DVB-H Technology 311 12.2.1 DVB-H Mobile Devices 315 Appendix 12.A: Open Mobile Video Coalition Efforts 317 References 318 Glossary 319 Index 349

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Book SynopsisA collection of tutorial articles on recent advancements and state-of-the-art results Provides a comprehensive overview of sensor and array processing. Covers fundamental principles as well as applications. Features some of the most prominent researchers from different centers in North America and Europe.Trade Review"The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4." (Computing Reviews, June 2010) "Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics." (Computing Reviews, June 2010)Table of ContentsPreface (Simon Haykin and K. J. Ray Liu). Contributors. Introduction (Simon Haykin). PART I: FUNDAMENTAL ISSUES IN ARRAY SIGNAL PROCESSING. 1. Wavefields. (Alfred Hanssen). 1.1 Introduction. 1.2 Harmonizable Stochastic Processes. 1.3 Stochastic Wavefields. 1.4 Wave Dispersion. 1.5 Conclusions. 1.6 Acknowledgements. References. 2. Spatial Spectrum Estimation (Petar M. Djurić). 2.1 Introduction. 2.2 Fundamentals. 2.3 Temporal Spectrum Estimation. 2.4 Spatial Spectrum Estimation. 2.5 Final Remarks. References. 3. MIMO Radio Propagation (Tricia J. Willink). 3.1 Introduction. 3.2 Space-Time Propagation Environment. 3.3 Propagation Models. 3.4 Measured Channel Characteristics. 3.5 Stationarity. 3.6 Summary. References. 4. Robustness Issues in Sensor Array Processing (Alex B. Gershman). 4.1 Introduction. 4.2 Direction-of-Arrival Estimation. 4.3 Adaptive Beamforming. 4.4 Conclusions. Acknowledgments. References. 5. Wireless Communication and Sensing in Multipath Environments Using Multiantenna Transceivers (Akbar M. Sayeed and Thiagarajan Sivanadyan). 5.1 Introduction and Overview. 5.2 Multipath Wireless Channel Modeling in Time, Frequency and Space. 5.3 Point-to-Point MIMO Wireless Communication Systems. 5.4 Active Wireless Sensing with Wideband MIMO Transceivers. 5.5 Concluding Remarks. References. PART II: NOVEL TECHNIQUES FOR AND APPLICATIONS OF ARRAY SIGNAL PROCESSING. 6. Implicit Training and Array Processing for Digital Communication Systems (Aldo G. Orozco-Lugo, Mauricio Lara, and Desmond C. McLernon). 6.1 Introduction. 6.2 Classification of Implicit Training Methods. 6.3 IT-Based Estimation for a Single User. 6.4 IT-Based Estimation for Multiple Users Exploiting Array Processing: Continuous Transmission. 6.5 IT-Based Estimation for Multiple Users Exploiting Array Processing: Packet Transmission. 6.6 Open Research Problems. Acknowledgments. References. 7. Unitary Design of Radar Waveform Diversity Sets (Michael D. Zoltowski, Tariq R. Qureshi, Robert Calderbank, and Bill Moran). 7.1 Introduction. 7.2 2 x 2 Space-Time Diversity Waveform Design. 7.3 4 x 4 Space-Time Diversity Waveform Design. 7.4 Waveform Families Based on Kronecker Products. 7.5 Introduction to Data-Dependent Waveform Design. 7.6 3 x 3 and 6 x 6 Waveform Scheduling. 7.7 Summary. References. 8. Acoustic Array Processing for Speech Enhancement (Markus Buck, Eberhard Hänsler, Mohamed Krini, Gerhard Schmidt and Tobias Wolff). 8.1 Introduction. 8.2 Signal Processing in the Subband Domain. 8.3 Multichannel Echo Cancelation. 8.4 Speaker Localization. 8.5 Beamforming. 8.6 Sensor Calibration. 8.7 Postprocessing. 8.8 Conclusions. References. 9. Acoustic Beamforming for Hearing Aid Applications (Simon Doclo, Sharon Gannot, Marc Moonen and Ann Spriet). 9.1. Introduction. 9.2. Overview of noise reduction techniques. 9.3. Monaural beamforming. 9.4. Binaural beamforming. 9.5. Conclusion. 10. Undetermined Blind Source Separation Using Acoustic Arrays (Shoji Makino, Shoko Araki, Stefan Winter and Hiroshi Sawada). 10.1 Introduction. 10.2 Underdetermined Blind Source Separation of Speeches in Reverberant Environments. 10.3 Sparseness of Speech Sources. 10.4 Binary Mask Approach to Underdetermined BSS. 10.5 MAP-Based Two-Stage Approach to Underdetermined BSS. 10.6 Experimental Comparison with Binary Mask Approach and MAP-Based Two-Stage Approach. 10.7 Concluding Remarks. References. 11. Array Processing in Astronomy (Douglas C.-J. Bock). 11.1 Introduction. 11.2 Correlation Arrays. 11.3 Aperture Plane Phased Arrays. 11.4 Future Directions. 11.5 Conclusion. References. 12. Digital 3D/4D Ultrasound Imaging Array (Stergios Stergiopoulos). 12.1 Background. 12.2 Next Generation 3D/4D Ultrasound Imaging Technology. 12.3 Computing Architecture and Implementation Issues. 12.4 An Experimental Planar Array Ultrasound Imaging System. 12.5 Conclusion. References. PART III: FUNDAMENTAL ISSUES IN DISTRIBUTED SENSOR NETWORKS. 13. Self-Localization of Sensor Networks (Josh N. Ash and Randolph L. Moses). 13.1 Introduction. 13.2 Measurement Types and Performance Bounds. 13.3 Localization Algorithms. 13.4 Relative and Transformation Error Decomposition. 13.5 Conclusions. References. 14. Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo (Tom Vercauteren and Xiaodong Wang). 14.1 Introduction. 14.2 System Description and Problem Formulation. 14.3 Sequential Monte Carlo Methods. 14.4 Joint Single-Target Tracking and Classification. 14.5 Multiple-Target Tracking and Classification. 14.6 Sensor Selection. 14.7 Simulation Results. Conclusion. Appendix: Derviations of (14.38 and (14.40). References. 15. Energy-Efficient Decentralized Estimation (Jin-Jun Xiao, Shuguang Cui and Zhi-Quan Luo). 15.5 Introduction. 15.2 System Model. 15.3 Digital Approaches. 15.4 Analog Approaches. 15.5 Analog versus Digital. 15.6 Extension to Vector Model. 15.7 Concluding Remarks. Acknowledgments. References. 16. Sensor Data Fusion with Application to Multitarget Tracking (R. Tharmarasa, K. Punithakumar, T. Kirubarajan and Y. Bar-Shalom). 16.1 Introduction. 16.2 Tracking Filters. 16.3 Data Association. 16.4 Out-of-Sequence Measurements. 16.5 Results with Real Data. 16.6 Summary. References. 17. Distributed Algorithms in Sensor Networks (Usman A. Khan, Soummya Kar and José Moura). 17.1 Introduction. 17.2 Preliminaries. 17.3 Distributed Detection. 17.4 Consensus Algorithms. 17.5 Zero-Dimension (Average) Consensus. 17.6 Consensus in Higher Dimensions. 17.7 Leader-Follower (Type) Algorithms. 17.8 Localization in Sensor Networks. 17.9 Linear System of Equations: Distributed Algorithm. 17.10 Conclusions. References. 18. Cooperative Sensor Communications (Ahmed K. Sadek, Weifeng Su and K. J. Ray Liu). 18.1 Introduction. 18.2 Cooperative Relay Protocols. 18.3 SER Analysis and Optimal Power Allocation. 18.4 Energy Efficiency in Cooperative Sensor Networks. 18.5 Experimental Results. 18.6 Conclusions. References. 19. Distributed Source Coding (Zixiang Xiong, Angelos D. Liveris and Yang Yang). 19.1 Introduction. 19.2 Theoretical Background. 19.3 Code Designs. 19.4 Applications. 19.5 Conclusions. References. 20. Network Coding for Sensor Networks (Christina Fragouli). 20.1 Introduction. 20.2 How Can We Implement Network Coding in a Practical Sensor Network? 20.3 Data Collection and Coupon Collector Problem. 20.4 Distributed Storage and Sensor Network Data Persistence. 20.5 Decentralized Operation and Untuned Radios. 20.6 Broadcasting and Multipath Diversity. 20.7 Network, Channel and Source Coding. 20.8 Identity-Aware Sensor Networks. 20.9 Discussion. Acknowledgments. References. 21. Information-Theoretic Studies of Wireless Sensor Networks (Liang-Liang Xie and P. R. Kumar). 21.1 Introduction. 21.2 Information-Theoretic Studies. 21.3 Relay Schemes. 21.4 Wireless Network Coding. 21.5 Concluding Remarks. Acknowledgments. References. PART IV: NOVEL TECHNIQUES FOR AND APPLICATIONS OF DISTRIBUTED SENSOR NETWORKS. 22. Distributed Adaptive Learning Mechanisms (Ali H. Sayed and Federico S. Cattivelli). 22.1 Introduction. 22.2 Motivation. 22.3 Incremental Adaptive Solutions. 22.4 Diffusion Adaptive Solutions. 22.5 Concluding Remarks. Acknowledgments. References 23. Routing for Statistical Inference in Sensor Networks (A. Anandkumar, A. Ephremides, A. Swami and L. Tong). 23.1 Introduction. 23.2 Spatial Data Correlation. 23.3 Statistical Inference of Markov Random Fields. 23.4 Optimal Routing for Inference with Local Processing. 23.5 Conclusion and Future Work. 23.6 Bibliographic Notes. References. 24. Spectral Estimation in Cognitive Radios (Behrouz Farhang-Boroujeny). 24.1 Filter Bank Formulation of Spectral Estimators. 24.2 Polyphase Realization of Uniform Filter Banks. 24.3 Periodogram Spectral Estimator. 24.4 Multitaper Spectral Estimator. 24.5 Filter Bank Spectral Estimator. 24.6 Distributed Spectrum Sensing. 24.7 Discussion. Appendix A: Effective Degree of Freedom. Appendix B: Explanation to the Results of Table 24.1. References. 25. Nonparametric Techniques for Pedestrian Tracking in Wireless Local Area Networks (Azadeh Kushki and Kostas N. Plataniotis). 25.1 Introduction. 25.2 WLAN Positioning Architectures. 25.3 Signal Models. 25.4 Zero-Memory Positioning. 25.5 Dynamic Positioning Systems. 25.6 Cognition and Feedback. 25.7 Tracking Example. 25.8 Conclusions. References. 26. Reconfigurable Self-Activating Ion-Channel-Based Biosensors Vikram Krishnamurthy and Bruce Cornell). 26.1 Introduction. 26.2 Biosensors Built of Ion Channels. 26.3 Joint Input Excitation and Concentration Classification for Biosensor. 26.4 Decentralized Deployment of Dense Network of Biosensors. 26.5 Discussion and Extensions. References. 27. Biochemical Transport Modeling, Estimation and Detection in Realistic Environments (Mathias Ortner and Arye Nehorai ). 27.1 Introduction. 27.2 Physical and Statistical Models. 27.3 Transport Modeling Using Monte Carlo Approximation. 27.4 Localizing the Source(s). 27.5 Sequential Detection. 27.6 Conclusion. References. 28. Security and Privacy for Sensor Networks (Wade Trappe, Peng Ning and Adrian Perrig). 28.1 Introduction. 28.2 Security and Privacy Challenges. 28.3 Ensuring Integrity of Measurement Process. 28.4 Availability Attacks against the Wireless Link. 28.5 Ensuring Privacy of Routing Contexts. 28.6 Conclusion. References. Index.

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Book SynopsisSignal processing is now a multidisciplinary topic, and one that has applications in many fields including, but not limited to, science, engineering, medicine, finance and the behavioural sciences. Modern software libraries that include dedicated languages and packages designed to simplify the development and application of signal processing techniques are now readily available; however this ease of application means that an understanding of the various techniques is imperative. It is critical that the student or practitioner is able to choose an appropriate processing technique, be aware of potential errors involved and understand how to control them. Discover Signal Processing exploits the rationale of learning by doing; actually attempting and performing a task is the most effective way to remember and understand. It presents the reader with a diverse range of exercises; some intended to recall or practice simple concepts, others more complex & aimed at developing a real Table of ContentsPreface. About the Author. Notation. Part A: The Exercises. 1 Introduction. Overview. The Exercises. Exercise 1.1. Exercise 1.2. Solutions and Summaries. 2 Signals. Overview. The Exercises. Exercise 2.1. Exercise 2.2. Exercise 2.3. Exercise 2.4. Solutions and Summaries. 3 Fourier Methods. Overview. The Exercises. Exercise 3.1. Exercise 3.2. Exercise 3.3. Exercise 3.4. Exercise 3.5. Exercise 3.6. Exercise 3.7. Exercise 3.8. Exercise 3.9. Exercise 3.10. Exercise 3.11. Exercise 3.12. Solutions and Summaries. 4 Linear Systems. Overview. The Exercises. Exercise 4.1. Exercise 4.2. Exercise 4.3. Solutions and Summaries. 5 Filters. Overview. The Exercises. Exercise 5.1. Exercise 5.2. Exercise 5.3. Exercise 5.4. Solutions and Summaries. 6 Time Domain Averaging (TDA). Overview. The Exercises. Exercise 6.1. Exercise 6.2. Exercise 6.3. Exercise 6.4. Solutions and Summaries. 7 Spectral Analysis. Overview. The Exercises. Exercise 7.1(a). Exercise 7.1(b). Exercise 7.2. Exercise 7.3. Exercise 7.4. Exercise 7.5. Exercise 7.6. Exercise 7.7. Exercise 7.8. Exercise 7.9. Solutions and Summaries. 8 Envelope Detection. Overview. The Exercises. Exercise 8.1. Solutions and Summaries. 9 The Spectrogram. Overview. The Exercises. Exercise 9.1. Exercise 9.2. Solutions and Summaries. 10 Sampling. Overview. The Exercises. Exercise 10.1. Exercise 10.2. Exercise 10.3. Exercise 10.4. Solutions and Summaries. 11 Identifi cation – Transfer Functions. Overview. The Exercises. Exercise 11.1. Exercise 11.2. Exercise 11.3. Exercise 11.4. Solutions and Summaries. 12 Model-based Signal Processing. Overview. The Exercises. Exercise 12.1. Exercise 12.2. Exercise 12.3. Solutions and Summaries. 13 Diagnostic Applications for Rotating Machines. Overview. The Exercises. Exercise 13.1. Exercise 13.2. Exercise 13.3. Exercise 13.4. Exercise 13.5. Solutions and Summaries. 14 Systems with Delays. Overview. The Exercises. Exercise 14.1. Exercise 14.2. Exercise 14.3. Solutions and Summaries. Part B. 1 Introduction. 1.1 General Objectives. 1.2 Basic Processing. 1.3 Why the Frequency Domain? 1.4 An Introductory Example. 2 Introduction to Signals. 2.1 Signal Classification. 2.2 Signal Descriptions. 2.3 Correlation Functions. 2.4 Estimation and Errors. 3 Fourier Methods. 3.1 Fourier Series. 3.2 Fourier (Integral) Transform. 3.3 The Uncertainty Principle. 3.4 The Discrete Fourier Transform (DFT). 3.5 The DFT and the Fast Fourier Transform (FFT). 3.6 Discontinuities and Windows. 4 Linear Systems. 4.1 Continuous Systems. 4.2 Discrete Systems. 4.3 A Specifi c Case of a Continuous Linear Systems – Accelerometers. Appendix 4.A The Lightly Damped SDOF System. 5 Filters. 5.1 Preliminaries. 5.2 Analog and Digital Filters. 5.3 Filter Classifi cation and Specifications. 5.4 IIR Filters. 5.5 FIR Filters. 5.6 The Importance of Linear Phase Filters. 5.7 Design Tools. 6 Time Domain Averaging (Synchronous Averaging). 6.1 Principle. 6.2 Rejection of Nonsynchronous Components. 6.3 TDA with Decaying Memory Process. 7 Spectral Analysis. 7.1 Introduction. 7.2 Representation of Signals in the Frequency Domain. 7.3 Errors and their Control. 7.4 Spectral Analysis: Practical Considerations. 8 Envelopes. 8.1 Introduction. 8.2 The Hilbert Transform (HT). 8.3 Analytic Signals. 8.4 Narrow Band (NB) Signals and their Envelope. 9 The Spectrogram. 9.1 Introduction. 9.2 Time Frequency Methods. 9.3 The Short Time Fourier Transform (STFT) and the Spectrogram. 10 Data Acquisition. 10.1 Data Acquisition and Signal Processing Systems. 10.2 Amplitude Quantization. 10.3 Quantization in Time: The Sampling Theorem. 10.4 Antialiasing Filters. 11 Input/Output Identifi cation. 11.1 Objectives and Overview. 11.2 Frequency Domain Identifi cation: The Noiseless Case. 11.3 Identifi cation with Noise Corrupted Signals. 11.4 Error Mechanisms and their Control in the Identifi cation Process. 11.5 Estimation Errors for the Coherence Function. 12 Model-based Signal Processing. 12.1 General. 12.2 Signal Models. 12.3 Modeling of Signals. 12.4 Model-based Spectral Analysis. 12.5 Model or Selection. 12.6 Model-based Diagnostics. Appendix 12.A The Correlation Matrix. 13 Machinery Diagnostics: Bearings and Gears. 13.1 Diagnostics and Rotating Machinery. 13.2 Structural Effects. 13.3 Rotating Imbalance. 13.4 Modeling of Roller Bearing Vibration Signals. 13.5 Bearing Vibrations: Structural Effects and Envelopes. 13.6 Modeling of Gear Vibration Signals. 14 Delays and Echoes. 14.1 System with Pure Delays. 14.2 Correlation Functions. 14.3 Cepstral Analysis. References. Index.

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Book SynopsisRapid development in different fields of Digital Audio Effects (DAFX) has led to new algorithms. The Second Edition of DAFX - Digital Audio Effects investigates digital signal processing, its application to sound, and how its effects on sound can be used within music.Table of ContentsPreface. List of Contributors. 1 Introduction (V. Verfaille, M. Holters, U. Zölzer). 1.1 Digital Audio Effects DAFX with MATLAB. 1.2 Classifications of DAFX. 1.3 Fundamentals of Digital Signal Processing. 1.4 Conclusion. Bibliography. 2 Filters and Delays (P. Dutilleux, M. Holters, S. Disch, U. Zölzer). 2.1 Introduction. 2.2 Basic Filters. 2.3 Equalizers. 2.4 Time-varying Filters. 2.5 Basic Delay Structures. 2.6 Delay-based Audio Effects. 2.7 Conclusion. Sound and Music. Bibliography. 3 Modulators and Demodulators (P. Dutilleux, M. Holters, S. Disch, U. Zölzer). 3.1 Introduction. 3.2 Modulators. 3.3 Demodulators. 3.4 Applications. 3.5 Conclusion. Sound and Music. Bibliography. 4 Nonlinear Processing (P. Dutilleux, K. Dempwolf, M. Holters, U. Zölzer). 4.1 Introduction. 4.2 Dynamic Range Control. 4.3 Musical Distortion and Saturation Effects. 4.4 Exciters and Enhancers. 4.5 Conclusion. Sound and Music. Bibliography. 5 Spatial Effects (V. Pulkki, T. Lokki, D. Rocchesso). 5.1 Introduction. 5.2 Concepts of spatial hearing. 5.3 Basic spatial effects for stereophonic loudspeaker and headphone playback. 5.4 Binaural techniques in spatial audio. 5.5 Spatial audio effects for multichannel loudspeaker layouts. 5.6 Reverberation. 5.7 Modeling of room acoustics. 5.8 Other spatial effects. 5.9 Conclusion. 5.10 Acknowledgements. References. 6 Time-Segment Processing (P. Dutilleux, G. De Poli, A. von dem Knesebeck, U. Zölzer). 6.1 Introduction. 6.2 Variable Speed Replay. 6.3 Time Stretching. 6.4 Pitch Shifting. 6.5 Time Shuffling and Granulation. 6.6 Conclusion. Sound and Music. References. 7 Time-Frequency Processing (D. Arfib, F. Keiler, U. Zölzer, V. Verfaille, J. Bonada). 7.1 Introduction. 7.2 Phase Vocoder Basics. 7.3 Phase Vocoder Implementations. 7.4 Phase Vocoder Effects. 7.5 Conclusion. References. 8 Source-Filter Processing (D. Arfib, F. Keiler, U. Zölzer, V. Verfaille). 8.1 Introduction. 8.2 Source-Filter Separation. 8.3 Source-Filter Transformations. 8.4 Conclusion. References. 9 Adaptive Digital Audio Effects (V. Verfaille, D. Arfib, F. Keiler, A. von dem Knesebeck, U. Zölzer). 9.1 Introduction. 9.2 Sound-Feature Extraction. 9.3 Mapping Sound Features to Control Parameters. 9.4 Examples of Adaptive DAFX. 9.5 Conclusions. References. 10 Spectral Processing (J. Bonada, X. Serra, X. Amatriain, A. Loscos). 10.1 Introduction. 10.2 Spectral Models. 10.3 Techniques. 10.4 Effects. 10.5 Conclusions. References. 11 Time and Frequency Warping-Musical Signals (G. Evangelista). 11.1 Introduction. 11.2 Warping. 11.3 Musical Uses of Warping. 11.4 Conclusion. References. 12 Virtual Analog Effects (V. Välimäki, S. Bilbao, J. O. Smith, J. S. Abel, J. Pakarinen, D. Berners). 12.1 Introduction. 12.2 Virtual Analog Filters. 12.3 Circuit-Based Valve Emulation. 12.4 Electromechanical Effects. 12.5 Tape-Based Echo Simulation. 12.6 Antiquing of Audio Files. 12.7 Conclusion. References. 13 Automatic Mixing (E. Perez-Gonzalez, J. D. Reiss). 13.1 Introduction. 13.2 AM-DAFX. 13.3 Cross-adaptive AM-DAFX. 13.4 AM-DAFX Implementations. 13.5 Conclusion. References. 14 Sound Source Separation (G. Evangelista, S. Marchand, M. D. Plumbley, E. Vincent). 14.1 Introduction. 14.2 Binaural Source Separation. 14.3 Source Separation from Single-Channel Signals. 14.4 Applications. 14.5 Conclusions. Acknowledgments. References. Glossary. Index.

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Book SynopsisThis book presents the state-of-the-art in visual media coding and transmission Visual Media Coding and Transmission is an output of VISNET II NoE, which is an EC IST-FP6 collaborative research project by twelve esteemed institutions from across Europe in the fields of networked audiovisual systems and home platforms.Table of ContentsVISNET II Researchers xiii Preface xv Glossary of Abbreviations xvii 1 Introduction 1 2 Video Coding Principles 7 2.1 Introduction 7 2.2 Redundancy in Video Signals 7 2.3 Fundamentals of Video Compression 8 2.3.1 Video Signal Representation and Picture Structure 8 2.3.2 Removing Spatial Redundancy 9 2.3.3 Removing Temporal Redundancy 14 2.3.4 Basic Video Codec Structure 16 2.4 Advanced Video Compression Techniques 17 2.4.1 Frame Types 17 2.4.2 MC Accuracy 19 2.4.3 MB Mode Selection 20 2.4.4 Integer Transform 21 2.4.5 Intra Prediction 22 2.4.6 Deblocking Filters 22 2.4.7 Multiple Reference Frames and Hierarchical Coding 24 2.4.8 Error-Robust Video Coding 24 2.5 Video Codec Standards 28 2.5.1 Standardization Bodies 28 2.5.2 ITU Standards 29 2.5.3 MPEG Standards 29 2.5.4 H.264/MPEG-4 AVC 31 2.6 Assessment of Video Quality 31 2.6.1 Subjective Performance Evaluation 31 2.6.2 Objective Performance Evaluation 32 2.7 Conclusions 35 References 36 3 Scalable Video Coding 39 3.1 Introduction 39 3.1.1 Applications and Scenarios 40 3.2 Overview of the State of the Art 41 3.2.1 Scalable Coding Techniques 42 3.2.2 Multiple Description Coding 45 3.2.3 Stereoscopic 3D Video Coding 47 3.3 Scalable Video Coding Techniques 48 3.3.1 Scalable Coding for Shape, Texture, and Depth for 3D Video 48 3.3.2 3D Wavelet Coding 68 3.4 Error Robustness for Scalable Video and Image Coding 74 3.4.1 Correlated Frames for Error Robustness 74 3.4.2 Odd–Even Frame Multiple Description Coding for Scalable H.264/AVC 82 3.4.3 Wireless JPEG 2000: JPWL 91 3.4.4 JPWL Simulation Results 94 3.4.5 Towards a Theoretical Approach for Optimal Unequal Error Protection 96 3.5 Conclusions 98 References 99 4 Distributed Video Coding 105 4.1 Introduction 105 4.1.1 The Video Codec Complexity Balance 106 4.2 Distributed Source Coding 109 4.2.1 The Slepian–Wolf Theorem 109 4.2.2 The Wyner–Ziv Theorem 110 4.2.3 DVC Codec Architecture 111 4.2.4 Input Bitstream Preparation – Quantization and Bit Plane Extraction 112 4.2.5 Turbo Encoder 112 4.2.6 Parity Bit Puncturer 114 4.2.7 Side Information 114 4.2.8 Turbo Decoder 115 4.2.9 Reconstruction: Inverse Quantization 116 4.2.10 Key Frame Coding 117 4.3 Stopping Criteria for a Feedback Channel-based Transform Domain Wyner–Ziv Video Codec 118 4.3.1 Proposed Technical Solution 118 4.3.2 Performance Evaluation 120 4.4 Rate-distortion Analysis of Motion-compensated Interpolation at the Decoder in Distributed Video Coding 122 4.4.1 Proposed Technical Solution 122 4.4.2 Performance Evaluation 126 4.5 Nonlinear Quantization Technique for Distributed Video Coding 129 4.5.1 Proposed Technical Solution 129 4.5.2 Performance Evaluation 132 4.6 Symmetric Distributed Coding of Stereo Video Sequences 134 4.6.1 Proposed Technical Solution 134 4.6.2 Performance Evaluation 137 4.7 Studying Error-resilience Performance for a Feedback Channel-based Transform Domain Wyner–Ziv Video Codec 139 4.7.1 Proposed Technical Solution 139 4.7.2 Performance Evaluation 140 4.8 Modeling the DVC Decoder for Error-prone Wireless Channels 144 4.8.1 Proposed Technical Solution 145 4.8.2 Performance Evaluation 149 4.9 Error Concealment Using a DVC Approach for Video Streaming Applications 151 4.9.1 Proposed Technical Solution 152 4.9.2 Performance Evaluation 155 4.10 Conclusions 158 References 159 5 Non-normative Video Coding Tools 161 5.1 Introduction 161 5.2 Overview of the State of the Art 162 5.2.1 Rate Control 162 5.2.2 Error Resilience 164 5.3 Rate Control Architecture for Joint MVS Encoding and Transcoding 165 5.3.1 Problem Definition and Objectives 165 5.3.2 Proposed Technical Solution 166 5.3.3 Performance Evaluation 169 5.3.4 Conclusions 171 5.4 Bit Allocation and Buffer Control for MVS Encoding Rate Control 171 5.4.1 Problem Definition and Objectives 171 5.4.2 Proposed Technical Approach 172 5.4.3 Performance Evaluation 177 5.4.4 Conclusions 179 5.5 Optimal Rate Allocation for H.264/AVC Joint MVS Transcoding 179 5.5.1 Problem Definition and Objectives 179 5.5.2 Proposed Technical Solution 180 5.5.3 Performance Evaluation 181 5.5.4 Conclusions 182 5.6 Spatio-temporal Scene-level Error Concealment for Segmented Video 182 5.6.1 Problem Definition and Objectives 182 5.6.2 Proposed Technical Solution 183 5.6.3 Performance Evaluation 187 5.6.4 Conclusions 188 5.7 An Integrated Error-resilient Object-based Video Coding Architecture 189 5.7.1 Problem Definition and Objectives 189 5.7.2 Proposed Technical Solution 189 5.7.3 Performance Evaluation 195 5.7.4 Conclusions 195 5.8 A Robust FMO Scheme for H.264/AVC Video Transcoding 195 5.8.1 Problem Definition and Objectives 195 5.8.2 Proposed Technical Solution 195 5.8.3 Performance Evaluation 197 5.8.4 Conclusions 198 5.9 Conclusions 199 References 199 6 Transform-based Multi-view Video Coding 203 6.1 Introduction 203 6.2 MVC Encoder Complexity Reduction using a Multi-grid Pyramidal Approach 205 6.2.1 Problem Definition and Objectives 205 6.2.2 Proposed Technical Solution 205 6.2.3 Conclusions and Further Work 208 6.3 Inter-view Prediction using Reconstructed Disparity Information 208 6.3.1 Problem Definition and Objectives 208 6.3.2 Proposed Technical Solution 208 6.3.3 Performance Evaluation 210 6.3.4 Conclusions and Further Work 211 6.4 Multi-view Coding via Virtual View Generation 212 6.4.1 Problem Definition and Objectives 212 6.4.2 Proposed Technical Solution 212 6.4.3 Performance Evaluation 215 6.4.4 Conclusions and Further Work 216 6.5 Low-delay Random View Access in Multi-view Coding Using a Bit Rate-adaptive Downsampling Approach 216 6.5.1 Problem Definition and Objectives 216 6.5.2 Proposed Technical Solution 216 6.5.3 Performance Evaluation 219 6.5.4 Conclusions and Further Work 222 References 222 7 Introduction to Multimedia Communications 225 7.1 Introduction 225 7.2 State of the Art: Wireless Multimedia Communications 228 7.2.1 QoS in Wireless Networks 228 7.2.2 Constraints on Wireless Multimedia Communications 231 7.2.3 Multimedia Compression Technologies 234 7.2.4 Multimedia Transmission Issues in Wireless Networks 235 7.2.5 Resource Management Strategy in Wireless Multimedia Communications 239 7.3 Conclusions 244 References 244 8 Wireless Channel Models 247 8.1 Introduction 247 8.2 GPRS/EGPRS Channel Simulator 247 8.2.1 GSM/EDGE Radio Access Network (GERAN) 247 8.2.2 GPRS Physical Link Layer Model Description 250 8.2.3 EGPRS Physical Link Layer Model Description 252 8.2.4 GPRS Physical Link Layer Simulator 256 8.2.5 EGPRS Physical Link Layer Simulator 261 8.2.6 E/GPRS Radio Interface Data Flow Model 268 8.2.7 Real-time GERAN Emulator 270 8.2.8 Conclusion 271 8.3 UMTS Channel Simulator 272 8.3.1 UMTS Terrestrial Radio Access Network (UTRAN) 272 8.3.2 UMTS Physical Link Layer Model Description 279 8.3.3 Model Verification for Forward Link 290 8.3.4 UMTS Physical Link Layer Simulator 298 8.3.5 Performance Enhancement Techniques 307 8.3.6 UMTS Radio Interface Data Flow Model 309 8.3.7 Real-time UTRAN Emulator 312 8.3.8 Conclusion 313 8.4 WiMAX IEEE 802.16e Modeling 316 8.4.1 Introduction 316 8.4.2 WIMAX System Description 317 8.4.3 Physical Layer Simulation Results and Analysis 323 8.4.4 Error Pattern Files Generation 324 8.5 Conclusions 328 8.6 Appendix: Eb/No and DPCH_Ec/Io Calculation 329 References 330 9 Enhancement Schemes for Multimedia Transmission over Wireless Networks 333 9.1 Introduction 333 9.1.1 3G Real-time Audiovisual Requirements 333 9.1.2 Video Transmission over Mobile Communication Systems 335 9.1.3 Circuit-switched Bearers 339 9.1.4 Packet-switched Bearers 348 9.1.5 Video Communications over GPRS 350 9.1.6 GPRS Traffic Capacity 351 9.1.7 Error Performance 354 9.1.8 Video Communications over EGPRS 357 9.1.9 Traffic Characteristics 357 9.1.10 Error Performance 358 9.1.11 Voice Communication over Mobile Channels 359 9.1.12 Support of Voice over UMTS Networks 360 9.1.13 Error-free Performance 361 9.1.14 Error-prone Performance 362 9.1.15 Support of Voice over GPRS Networks 362 9.1.16 Conclusion 363 9.2 Link-level Quality Adaptation Techniques 365 9.2.1 Performance Modeling 365 9.2.2 Probability Calculation 367 9.2.3 Distortion Modeling 368 9.2.4 Propagation Loss Modeling 368 9.2.5 Energy-optimized UEP Scheme 369 9.2.6 Simulation Setup 370 9.2.7 Performance Analysis 372 9.2.8 Conclusion 373 9.3 Link Adaptation for Video Services 373 9.3.1 Time-varying Channel Model Design 374 9.3.2 Link Adaptation for Real-time Video Communications 379 9.3.3 Link Adaptation for Streaming Video Communications 389 9.3.4 Link Adaptation for UMTS 396 9.3.5 Conclusion 402 9.4 User-centric Radio Resource Management in UTRAN 403 9.4.1 Enhanced Call-admission Control Scheme 403 9.4.2 Implementation of UTRAN System-level Simulator 403 9.4.3 Performance Evaluation of Enhanced CAC Scheme 410 9.5 Conclusions 411 References 413 10 Quality Optimization for Cross-network Media Communications 417 10.1 Introduction 417 10.2 Generic Inter-networked QoS-optimization Infrastructure 418 10.2.1 State of the Art 418 10.2.2 Generic of QoS for Heterogeneous Networks 420 10.3 Implementation of a QoS-optimized Inter-networked Emulator 422 10.3.1 Emulation System Physical Link Layer Simulation 426 10.3.2 Emulation System Transmitter/Receiver Unit 428 10.3.3 QoS Mapping Architecture 428 10.3.4 General User Interface 438 10.4 Performances of Video Transmission in Inter-networked Systems 442 10.4.1 Experimental Setup 442 10.4.2 Test for the EDGE System 443 10.4.3 Test for the UMTS System 445 10.4.4 Tests for the EDGE-to-UMTS System 445 10.5 Conclusions 452 References 453 11 Context-based Visual Media Content Adaptation 455 11.1 Introduction 455 11.2 Overview of the State of the Art in Context-aware Content Adaptation 457 11.2.1 Recent Developments in Context-aware Systems 457 11.2.2 Standardization Efforts on Contextual Information for Content Adaptation 467 11.3 Other Standardization Efforts by the IETF and W3C 476 11.4 Summary of Standardization Activities 479 11.4.1 Integrating Digital Rights Management (DRM) with Adaptation 480 11.4.2 Existing DRM Initiatives 480 11.4.3 The New ‘‘Adaptation Authorization’’ Concept 481 11.4.4 Adaptation Decision 482 11.4.5 Context-based Content Adaptation 488 11.5 Generation of Contextual Information and Profiling 492 11.5.1 Types and Representations of Contextual Information 492 11.5.2 Context Providers and Profiling 494 11.5.3 User Privacy 497 11.5.4 Generation of Contextual Information 498 11.6 The Application Scenario for Context-based Adaptation of Governed Media Contents 499 11.6.1 Virtual Classroom Application Scenario 500 11.6.2 Mechanisms using Contextual Information in a Virtual Collaboration Application 502 11.6.3 Ontologies in Context-aware Content Adaptation 503 11.6.4 System Architecture of a Scalable Platform for Context-aware and DRM-enabled Content Adaptation 504 11.6.5 Context Providers 507 11.6.6 Adaptation Decision Engine 510 11.6.7 Adaptation Authorization 514 11.6.8 Adaptation Engines Stack 517 11.6.9 Interfaces between Modules of the Content Adaptation Platform 544 11.7 Conclusions 552 References 553 Index 559

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Book Synopsis* Adopts a theoretical approach underpinned by practical examples gleaned from the author s extensive experience in the field of wireless technology. * Uses a new methodology comprising statistical analysis to evaluate the performance of voice and data networks.Table of ContentsList of Figures xix List of Tables xxxv About the Author xli Preface xliii Acknowledgements xlv List of Abbreviations xlvii Introduction 1 1 The Business Plan 5 1.1 Introduction 5 1.2 Market Plan 5 1.3 The Engineering Plan 7 1.4 The Financial Plan 8 1.5 Business Case Questionnaire 11 1.6 Implementing the Business Plan 12 2 Data Transmission 15 2.1 History of the Internet 15 2.2 Network Modeling 16 2.3 Internet Network Architecture 19 2.4 The Physical Layer 20 2.5 The Data Link Layer 22 2.6 Network Layer 24 2.7 Transport Protocols 28 2.8 Routing Protocols 29 2.9 Application Protocols 31 2.10 The World Wide Web (WWW) 35 3 Market Modeling 37 3.1 Introduction 37 3.2 Data Traffic Characterization 38 3.3 Service Plan (SP) and Service Level Agreement (SLA) 41 3.4 User Service Classes 43 3.5 Applications 44 3.6 Over-Subscription Ratio (OSR) 50 3.7 Services Summary 51 3.8 RF Environment 51 3.9 Terminals 52 3.10 Antenna Height 58 3.11 Geographic User Distribution 58 3.12 Network Traffic Modeling 63 3.13 KPI (Key Performance Indicator) Establishment 72 3.14 Wireless Infrastructure 74 4 Signal Processing Fundamentals 77 4.1 Digitizing Analog Signals 77 4.2 Digital Data Representation in the Frequency Domain (Spectrum) 80 4.3 Orthogonal Signals 84 4.4 Combining Shifted Copies of a Sine Wave 86 4.5 Carrier Modulation 87 5 RF Channel Analysis 95 5.1 The Signal 95 5.2 The RF Channel 101 5.3 RF Signal Propagation 102 5.4 RF Channel in the Frequency Domain 107 5.5 RF Channel in Time Domain 115 5.6 RF Channel in the Power Domain 120 5.7 Standardized Channel Models 123 5.8 RF Environment 126 5.9 Fading 128 6 RF Channel Performance Prediction 139 6.1 Advanced RF Propagation Models 139 6.2 RF Measurements and Propagation Model Calibration 163 6.3 RF Interference Issues 172 6.4 Interference Mitigation Techniques 180 6.5 RF Spectrum Usage and Resource Planning 181 6.6 Availability 187 7 OFDM 193 7.1 Multiplexing 193 7.2 Other PAPR Reduction Methods 201 7.3 De-Multiplexing 201 7.4 Cyclic Prefix 202 7.5 OFDMA 203 7.6 Duplexing 204 7.7 Synchronization 207 7.8 RF Channel Information Detection 208 7.9 Error Correction Techniques 211 7.10 Resource Allocation and Scheduling 215 7.11 Establishing Wireless Data Communications 216 8 OFDM Implementation 221 8.1 Transmit Side 221 8.2 Receive Side 228 9 Wireless Communications Network (WCN) 235 9.1 Introduction 235 9.2 Wireless Access Network 235 9.3 Core Network 237 10 Antenna and Advanced Antenna Systems 245 10.1 Introduction 245 10.2 Antenna Basics 246 10.3 Antenna Radiation 247 10.4 Antenna Types 249 10.5 Antenna Characteristics 254 10.6 Multiple Antennas Arrangements 262 10.7 Receive Diversity 267 10.8 Transmit Diversity 271 10.9 Transmit and Receive Diversity (TRD) 275 10.10 Spatial Multiplexing (Matrix B) 276 10.11 Diversity Performance 278 10.12 Antenna Array System (AAS), Advanced Antenna System (AAS) or Adaptive Antenna Steering (AAS) or Beamforming 282 11 Radio Performance 287 11.1 Introduction 287 11.2 Input RF Noise 288 11.3 Receive Circuit Noise 288 11.4 Signal to Noise Ratio 288 11.5 Radio Sensitivity Calculations 295 11.6 Radio Configuration 307 12 Wireless LAN 311 12.1 Standardization 311 12.2 Architecture 315 12.3 The IEEE Std 802.11-2007 316 12.4 Enhancements for Higher Throughputs, Amendment 5: 802.11n-2009 328 12.5 Work in Progress 333 12.6 Throughput 334 13 WiMAX 341 13.1 Standardization 341 13.2 Network Architecture 344 13.3 Physical Layer (PHY) 353 13.4 Multiple Access OFDMA 369 13.5 WiMAX Network Layers 370 13.6 WiMAX Operation Phases 384 13.7 WiMAX Interference Reduction Techniques 386 13.8 WiMAX Resource Planning 401 14 Universal Mobile Telecommunication System – Long Term Evolution (UMTS-LTE) 409 14.1 Introduction 409 14.2 Standardization 412 14.3 Frequency Bands 415 14.4 Architecture 417 14.5 Wireless Message Flow and Protocol Stack 424 14.6 Wireline Message Flow and Protocol Stacks 433 14.7 Identifiers 434 14.8 HARQ Procedure 435 14.9 Scrambling Sequences 439 14.10 Physical Layer (PHY) 439 14.11 PHY Structure 444 14.12 PHY TDD 457 14.13 Multimedia Broadcast/Multicast Service (MBMS) 457 14.14 Call Placement Scenario 461 14.15 PHY Characteristics and Performance 463 14.16 Multiple Antennas in LTE 466 14.17 Resource Planning in LTE 472 14.18 Self-Organizing Network (SON) 473 14.19 RAT (Radio Access Technology) Internetworking 475 14.20 LTE Radio Propagation Channel Considerations 475 14.21 Handover Procedures in LTE 481 14.22 Measurements 482 14.23 LTE Practical System Capacity 483 14.24 Synchronization 486 14.25 Beyond 4G 486 15 Broadband Standards Comparison 489 15.1 Introduction 489 15.2 Performance Tables 489 16 Wireless Network Design 513 16.1 Introduction 513 16.2 Wireless Market Modeling 513 16.3 Wireless Network Strategy 515 16.4 Wireless Network Design 516 16.5 Wireless Network Optimization 517 16.6 Wireless Network Performance Assessment 517 17 Wireless Market Modeling 519 17.1 Findings Phase 519 17.2 Area of Interest (AoI) Modeling 519 17.3 Terrain Databases (GIS Geographic Information System) 519 17.4 Demographic Databases 530 17.5 Service Modeling 533 17.6 Environment Modeling 536 17.7 User Terminal Modeling 537 17.8 Service Class Modeling 538 17.9 User Distribution Modeling 542 17.10 Traffic Distribution Modeling 551 18 Wireless Network Strategy 553 18.1 Define Spectrum Usage Strategy 553 18.2 Deployment Strategy 555 18.3 Core Equipment 555 18.4 Base Station Equipment 555 18.5 Customer Premises Equipment (CPE) 563 18.6 Link Budget 565 18.7 Backhaul Equipment 565 18.8 Land Line Access Points of Presence (PoP) 570 18.9 List of Available Site Locations 570 19 Wireless Network Design 573 19.1 Field Measurement Campaign 573 19.2 Measurement Processing 575 19.3 Propagation Models and Parameters 579 19.4 Site Location 582 19.5 Run Initial Site Predictions 586 19.6 Static Traffic Simulation 593 19.7 Adjust Design for Area and Traffic Coverage 595 19.8 Configure Backhaul Links and Perform Backhaul Predictions 595 19.9 Perform Signal Level Predictions with Extended Radius 597 20 Wireless Network Optimization 599 20.1 Cell Enhancement or Footprint Optimization 599 20.2 Resource Optimization 603 21 Wireless Network Performance Assessment 615 21.1 Perform Dynamic Traffic Simulation 615 21.2 Performance 620 21.3 Perform Network Performance Predictions 625 21.4 Backhaul Links Performance 655 21.5 Analyze Performance Results, Analyze Impact on CAPEX, OPEX and ROI 661 22 Basic Mathematical Concepts Used in Wireless Networks 663 22.1 Circle Relationships 663 22.2 Numbers and Vectors 665 22.3 Functions Decomposition 668 22.4 Sinusoids 670 22.5 Fourier Analysis 674 22.6 Statistical Probability Distributions 676 Appendix: List of Equations 689 Further Reading 697 Index 701

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Book SynopsisThis book provides a complete reference to network mergers andmigrations using the Junos operating system Network Mergers and Migrations provides readers with acomprehensive guide for network migration activities by detailing avariety of internetworking case studies.Table of Contents0.1 Motivation 0.2 Book audience 0.3 Book structure 1 Dealing with routes within the router 1.1 Intrarouter Route handling Features in JUNOS Software 1.2 RIB Route Advertisement at MPLS VPNs 1.3 Directing traffic to forwarding tables 1.4 Case Study Bibliography 2 Link-State IGP migrations 2.1 Link-state IGP hierarchical migrations 2.2 Link-state IGP domain migrations 2.3 Case Study Bibliography 3 BGP Migrations 3.1 Motivations for BGP migrations 3.2 Considerations for BGP migrations 3.3 Generic strategies for BGP migrations 3.4 JUNOS Software implementation of BGP 3.5 Resources for JUNOS Software BGP migrations 3.6 Case study Bibliography 4 MPLS Label Distributions migrations 4.1 Motivations for MPLS Label Distribution migrations 4.2 Considerations for MPLS Label Distribution migrations 4.3 Generic strategies for an MPLS label distribution protocol migration 4.4 Resources for an MPLS label distribution protocol migration 4.5 Case Study Bibliography 5 MPLS Layer 3 VPN migrations 5.1 Motivations for Layer 3 VPNs migrations 5.2 Considerations for Layer 3 VPN migrations 5.3 Generic strategies for L3 VPN migrations 5.4 JunOS implementation of L3 VPNs 5.5 Resources for L3 VPN migrations 5.6 Case Study Bibliography

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Book SynopsisFixed broadband systems can provide higher data rates than 36 or 46 wireless systems, with reliability comparable to conventional optical fiber networks. Numerous fixed broadband wireless systems are being deployed or planned for deployment and an extensive radio spectrum has already been allocated throughout the world to accommodate such systems.Table of ContentsPreface. Fixed Broadband Wireless Systems. Electromagnetic Wave Propagation. Propagation and Channel Modes. Fading Models. Propagation Environment Models. Fixed Wireless Antenna Systems. Modulation, Equalizers, and Coding. Multiple-Access Techniques. Traffic and Application Mix Models. Single and Multilink System Design. Point-to-Multipoint (PMP) Network Design. Channel Assignment Strategies. Appendix A: Atmospheric and Rain Data. Appendix B: PDF of a Signal with Interference and Noise. Index.

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Book SynopsisCompetition within the telecommunications companies is growing fiercer by the day. Therefore, it is vital to ensure a high level of quality and reliability within all telecommunications systems in order to guard against faults and the failure of components and network services. Within large scale systems such quality and reliability problems are ever higher. The metrics of Quality and Reliability have to date only been available in journals and technical reports of companies which have designed or produced major parts of systems used in large applications. This book provides a self-contained treatment enabling the reader to be able to produce, define and utilise the metrics of Quality and Reliability required for the design and implementation of a large application such as a world class event as the Olympic Games. An additional outcome is that this book can be used as a guide for producing an ISO standard for large scale Systems such as the Olympic Games. * Provides Table of ContentsList of Contributors. Preface. Acknowledgement. 1 Introduction. 2 Reliability. Introduction. Reliability of Emerging Internet-based Services (H. Eslambolchi and M. Daneshmand). Reliability Issues in IP over Photonic Networks (S. Arakawa and M. Murata). 3 Survivability. Introduction. Key Issues in Survivable Cellular Systems (H. Sandalidis and P. Stavroulakis). Survivability in Wireless Mobile Networks (T. Dahlberg, et al.). 4 Quality. Introduction. Quality of Service Mechanisms in Multimedia Telecommunication Services (G. Rovithakis, et al.). QoS Metrics for Performance Assessment in Integrated Terrestrial-Satellite Multimedia Systems (A. Iera and A. Molinaro). TCP/IP-based Protocols over Satellite Systems: A Telecommunication Issue (M. Marchese). Outage Performance Considerations in Cellular Mobile Radio Networks (G. Karagiannidis and S. Kotsopoulos). Signal to Interference and Noise Ratio in Communication Systems as a Quality Measure (A. Sampath and D. Jeske). 5 A pplications. Introduction. Quality Wireless Broadband Home Networking (H. Zhang). A Reliable ATM Switch Design (Z. El-Saghir and A. Grzech). Quality of Service via an Optimal Routing Model (E. Aboelela and C. Douligeris). Appendix. Index.

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Book SynopsisCovers the architectural, topological and protocol issues regarding optical Local Area Networks (LANs). This book presents the class of adaptive protocols for optical LANs, and the Media-Access Control protocols. It is useful for undergraduate and graduate computer science, computer, electrical and telecommunications engineering students.Table of ContentsPreface. Acknowledgements. 1. Introduction. Advantages of Optical Fibre as a Transmission Medium. Basic Multiplexing Techniques. Evolution of Optical Networking?Major Technological Milestones. First Generation Optical Networks. Second Generation Optical Networks?Main Classes. A Closer Look at WDM Broadcast-and-Select Local Area Networks. 2. Enabling Technologies. Introduction. Classes of Optical Networks. Optical Network Components. Summary. 3. Medium Access Control Protocols. Fixed-Assignment Protocols. Random Access Protocols. Pretransmission Coordination-Based Protocols. 4. Adaptive Protocols. Adaptive TDMA Protocols. Adaptive Random Access Protocols. Adaptive Pretransmission Coordination Protocols. Centralized Packet Filtering Protocols. Index.

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Book SynopsisBy 2008, some 2 billion people will be using mobile phones and devices, in many cases to access advanced data services. Against this backdrop, the need for efficient and effective network design will be critical to the success of increasingly complex mobile networks. Simon Beresford-Wylie (SVP, Nokia Networks) With the complexity of the cellular networks increasing day by day, a deeper understanding of the design and performance of end-to-end cellular networks is required. Moreover, all the types of networks from 2G-2.5G-3G seem to co-exist. Fundamentals of Cellular Network Planning and Optimisation covers end-to-end network planning and optimisation aspects from second generation GSM to third generation WCDMA networks including GPRS and EDGE networks. All the sub-systems of the network i.e. radio network, transmission network and core network have been covered with focus on both practical and theoretical issues. By bringing all these concepts undTable of ContentsForeword. Preface. Acknowledgements. Introduction. 1. Overview of Mobile Networks. PART I: SECOND-GENERATION NETWORK PLANNING AND OPTIMISATION (GSM). 2. Radio Network Planning and Optimisation. 3.Transmission Network Planning and Optimisation. 4.Core Network Planning and Optimisation. PART II: 2.5-GENERATION NETWORK PLANNING AND OPTIMISATION (GPRS AND EDGE). 5. GPRS: Network Planning and Optimisation. 6. EDGE: Network Planning and Optimisation. PART III: THIRD-GENERATION NETWORK PLANNING AND OPTIMISATION (WCDMA). 7. 3G Radio Network Planning and Optimisation. 8. 3G Transmission Network Planning and Optimisation. 9. 3G Core Network Planning and Optimisation. PART IV: FOURTH-GENERATION NETWORK PLANNING (OFDM/ALL-IP/WLAN). 10. 4G Network Planning. A. Integrated Network Planning Tool: Nokia NetAct Planner by Ari Niininen . B. MMS Network Planning by Christophe Landemaine. C. Location-based Services by Johanna Kahkonen. D. End-to-End System performance Measurement by N.B. Kamat. E. Erlang B Tables by Nezha Larhissi. Essential Reading. Index.

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Book SynopsisThis book addresses key problems of computer vision (CV), focusing on the significant issues of object detection, tracking, and recognition in images, which are not found in other CV books. Throughout, the book balances theory, implementation, and case studies in order to provide a complete and accessible treatment of the topic.Table of ContentsPreface xiii Acknowledgements xv Notations and Abbreviations xvii 1 Introduction 1 1.1 A Sample of Computer Vision 3 1.2 Overview of Book Contents 6 References 8 2 Tensor Methods in Computer Vision 9 2.1 Abstract 9 2.2 Tensor – A Mathematical Object 10 2.2.1 Main Properties of Linear Spaces 10 2.2.2 Concept of a Tensor 11 2.3 Tensor – A Data Object 13 2.4 Basic Properties of Tensors 15 2.4.1 Notation of Tensor Indices and Components 16 2.4.2 Tensor Products 18 2.5 Tensor Distance Measures 20 2.5.1 Overview of Tensor Distances 22 2.5.1.1 Computation of Matrix Exponent and Logarithm Functions 24 2.5.2 Euclidean Image Distance and Standardizing Transform 29 2.6 Filtering of Tensor Fields 33 2.6.1 Order Statistic Filtering of Tensor Data 33 2.6.2 Anisotropic Diffusion Filtering 36 2.6.3 IMPLEMENTATION of Diffusion Processes 40 2.7 Looking into Images with the Structural Tensor 44 2.7.1 Structural Tensor in Two-Dimensional Image Space 47 2.7.2 Spatio-Temporal Structural Tensor 50 2.7.3 Multichannel and Scale-Space Structural Tensor 52 2.7.4 Extended Structural Tensor 54 2.7.4.1 IMPLEMENTATION of the Linear and Nonlinear Structural Tensor 57 2.8 Object Representation with Tensor of Inertia and Moments 62 2.8.1 IMPLEMENTATION of Moments and their Invariants 65 2.9 Eigendecomposition and Representation of Tensors 68 2.10 Tensor Invariants 72 2.11 Geometry of Multiple Views: The Multifocal Tensor 72 2.12 Multilinear Tensor Methods 75 2.12.1 Basic Concepts of Multilinear Algebra 78 2.12.1.1 Tensor Flattening 78 2.12.1.2 IMPLEMENTATION Tensor Representation 84 2.12.1.3 The k-mode Product of a Tensor and a Matrix 95 2.12.1.4 Ranks of a Tensor 100 2.12.1.5 IMPLEMENTATION of Basic Operations on Tensors 101 2.12.2 Higher-Order Singular Value Decomposition (HOSVD) 112 2.12.3 Computation of the HOSVD 114 2.12.3.1 Implementation of the HOSVD Decomposition 119 2.12.4 HOSVD Induced Bases 121 2.12.5 Tensor Best Rank-1 Approximation 123 2.12.6 Rank-1 Decomposition of Tensors 126 2.12.7 Best Rank-(R1, R2, . . . , RP) Approximation 131 2.12.8 Computation of the Best Rank-(R1, R2, . . . , RP) Approximations 134 2.12.8.1 IMPLEMENTATION – Rank Tensor Decompositions 137 2.12.8.2 CASE STUDY – Data Dimensionality Reduction 145 2.12.9 Subspace Data Representation 149 2.12.10 Nonnegative Matrix Factorization 151 2.12.11 Computation of the Nonnegative Matrix Factorization 155 2.12.12 Image Representation with NMF 160 2.12.13 Implementation of the Nonnegative Matrix Factorization 162 2.12.14 Nonnegative Tensor Factorization 169 2.12.15 Multilinear Methods of Object Recognition 173 2.13 Closure 179 2.13.1 Chapter Summary 179 2.13.2 Further Reading 180 2.13.3 Problems and Exercises 181 References 182 3 Classification Methods and Algorithms 189 3.1 Abstract 189 3.2 Classification Framework 190 3.2.1 IMPLEMENTATION Computer Representation of Features 191 3.3 Subspace Methods for Object Recognition 194 3.3.1 Principal Component Analysis 195 3.3.1.1 Computation of the PCA 199 3.3.1.2 PCA for Multi-Channel Image Processing 210 3.3.1.3 PCA for Background Subtraction 214 3.3.2 Subspace Pattern Classification 215 3.4 Statistical Formulation of the Object Recognition 222 3.4.1 Parametric and Nonparametric Methods 222 3.4.2 Probabilistic Framework 222 3.4.3 Bayes Decision Rule 223 3.4.4 Maximum a posteriori Classification Scheme 224 3.4.5 Binary Classification Problem 226 3.5 Parametric Methods – Mixture of Gaussians 227 3.6 The Kalman Filter 233 3.7 Nonparametric Methods 236 3.7.1 Histogram Based Techniques 236 3.7.2 Comparing Histograms 239 3.7.3 IMPLEMENTATION – Multidimensional Histograms 243 3.7.4 Parzen Method 246 3.7.4.1 Kernel Based Methods 248 3.7.4.2 Nearest-Neighbor Method 250 3.8 The Mean Shift Method 251 3.8.1 Introduction to the Mean Shift 251 3.8.2 Continuously Adaptive Mean Shift Method (CamShift) 257 3.8.3 Algorithmic Aspects of the Mean Shift Tracking 259 3.8.3.1 Tracking of Multiple Features 259 3.8.3.2 Tracking of Multiple Objects 260 3.8.3.3 Fuzzy Approach to the CamShift 261 3.8.3.4 Discrimination with Background Information 262 3.8.3.5 Adaptive Update of the Classifiers 263 3.8.4 IMPLEMENTATION of the CamShift Method 264 3.9 Neural Networks 267 3.9.1 Probabilistic Neural Network 267 3.9.2 IMPLEMENTATION – Probabilistic Neural Network 270 3.9.3 Hamming Neural Network 274 3.9.4 IMPLEMENTATION of the Hamming Neural Network 278 3.9.5 Morphological Neural Network 282 3.9.5.1 IMPLEMENTATION of the Morphological Neural Network 285 3.10 Kernels in Vision Pattern Recognition 291 3.10.1 Kernel Functions 296 3.10.2 IMPLEMENTATION – Kernels 301 3.11 Data Clustering 306 3.11.1 The k-Means Algorithm 308 3.11.2 Fuzzy c-Means 311 3.11.3 Kernel Fuzzy c-Means 313 3.11.4 Measures of Cluster Quality 315 3.11.5 IMPLEMENTATION Issues 317 3.12 Support Vector Domain Description 327 3.12.1 Implementation of Support Vector Machines 333 3.12.2 Architecture of the Ensemble of One-Class Classifiers 334 3.13 Appendix – MATLAB R and other Packages for Pattern Classification 336 3.14 Closure 336 3.14.1 Chapter Summary 336 3.14.2 Further Reading 337 Problems and Exercises 338 References 339 4 Object Detection and Tracking 346 4.1 Introduction 346 4.2 Direct Pixel Classification 346 4.2.1 Ground-Truth Data Collection 347 4.2.2 CASE STUDY – Human Skin Detection 348 4.2.3 CASE STUDY – Pixel Based Road Signs Detection 352 4.2.3.1 Fuzzy Approach 353 4.2.3.2 SVM Based Approach 353 4.2.4 Pixel Based Image Segmentation with Ensemble of Classifiers 361 4.3 Detection of Basic Shapes 364 4.3.1 Detection of Line Segments 366 4.3.2 UpWrite Detection of Convex Shapes 367 4.4 Figure Detection 370 4.4.1 Detection of Regular Shapes from Characteristic Points 371 4.4.2 Clustering of the Salient Points 375 4.4.3 Adaptive Window Growing Method 376 4.4.4 Figure Verification 378 4.4.5 CASE STUDY – Road Signs Detection System 380 4.5 CASE STUDY – Road Signs Tracking and Recognition 385 4.6 CASE STUDY – Framework for Object Tracking 389 4.7 Pedestrian Detection 395 4.8 Closure 402 4.8.1 Chapter Summary 402 4.8.2 Further Reading 402 Problems and Exercises 403 References 403 5 Object Recognition 408 5.1 Abstract 408 5.2 Recognition from Tensor Phase Histograms and Morphological Scale Space 409 5.2.1 Computation of the Tensor Phase Histograms in Morphological Scale 411 5.2.2 Matching of the Tensor Phase Histograms 413 5.2.3 CASE STUDY – Object Recognition with Tensor Phase Histograms in Morphological Scale Space 415 5.3 Invariant Based Recognition 420 5.3.1 CASE STUDY – Pictogram Recognition with Affine Moment Invariants 421 5.4 Template Based Recognition 424 5.4.1 Template Matching for Road Signs Recognition 425 5.4.2 Special Distances for Template Matching 428 5.4.3 Recognition with the Log-Polar and Scale-Spaces 429 5.5 Recognition from Deformable Models 436 5.6 Ensembles of Classifiers 438 5.7 CASE STUDY – Ensemble of Classifiers for Road Sign Recognition from Deformed Prototypes 440 5.7.1 Architecture of the Road Signs Recognition System 442 5.7.2 Module for Recognition of Warning Signs 446 5.7.3 The Arbitration Unit 452 5.8 Recognition Based on Tensor Decompositions 453 5.8.1 Pattern Recognition in SubSpaces Spanned by the HOSVD Decomposition of Pattern Tensors 453 5.8.2 CASE STUDY – Road Sign Recognition System Based on Decomposition of Tensors with Deformable Pattern Prototypes 455 5.8.3 CASE STUDY – Handwritten Digit Recognition with Tensor Decomposition Method 462 5.8.4 IMPLEMENTATION of the Tensor Subspace Classifiers 465 5.9 Eye Recognition for Driver’s State Monitoring 470 5.10 Object Category Recognition 476 5.10.1 Part-Based Object Recognition 476 5.10.2 Recognition with Bag-of-Visual-Words 477 5.11 Closure 480 5.11.1 Chapter Summary 480 5.11.2 Further Reading 481 Problems and Exercises 482 Reference 483 A Appendix 487 A.1 Abstract 487 A.2 Morphological Scale-Space 487 A.3 Morphological Tensor Operators 490 A.4 Geometry of Quadratic Forms 491 A.5 Testing Classifiers 492 A.5.1 Implementation of the Confusion Matrix and Testing Object Detection in Images 496 A.6 Code Acceleration with OpenMP 499 A.6.1 Recipes for Object-Oriented Code Design with OpenMP 501 A.6.2 Hints on Using and Code Porting to OpenMP 507 A.6.3 Performance Analysis 511 A.7 Useful MATLAB R Functions for Matrix and Tensor Processing 512 A.8 Short Guide to the Attached Software 513 A.9 Closure 516 A.9.1 Chapter Summary 516 A.9.2 Further Reading 519 Problems and Exercises 520 References 520 Index 523

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Book SynopsisWithin the set of many identifier-locator separation designs for the Internet, HIP has progressed further than anything else we have so far. It is time to see what HIP can do in larger scale in the real world. In order to make that happen, the world needs a HIP book, and now we have it. - Jari Arkko, Internet Area Director, IETF One of the challenges facing the current Internet architecture is the incorporation of mobile and multi-homed terminals (hosts), and an overall lack of protection against Denial-of-Service attacks and identity spoofing. The Host Identity Protocol (HIP) is being developed by the Internet Engineering Task Force (IETF) as an integrated solution to these problems. The book presents a well-structured, readable and compact overview of the core protocol with relevant extensions to the Internet architecture and infrastructure. The covered topics include the Bound End-to-End Tunnel Mode for IPsec, Overlay Routable Cryptographic Hash Identifiers, extensTrade Review"I recommend this book to all software writers and engineers who are working in the context of mobile IP, IPv6, and the future internet. Graduate and advanced undergraduate students who are interested in discovering a practical and challenging application of identity management models and cryptographic protocols will also benefit from this book." (Computing Reviews, May 5, 2009)Table of ContentsAbout the Author. Foreword. (Jari Arkko) Foreword. (David Hutchison) Preface. Acknowledgments. Abbreviations. Part I Introduction. Chapter 1: Overview. 1.1 Identifierâ??locatorsplit. 1.2 HIPin the Internetarchitecture. 1.3 BriefhistoryofHIP. 1.4 Organization of the book. Chapter 2: Introduction to network security. 2.1 Goalsof cryptographicprotocols. 2.2 Basics andterminology. 2.3 Attacktypes. 2.4 Defensemechanisms. 2.5 Securityprotocols. 2.6 Weakauthenticationtechniques. 2.7 SecureDNS. Part II The Host Identity Protocol. Chapter 3: Architectural overview. 3.1 Internet namespaces. 3.2 Methods of identifying a host. 3.3 OverlayRoutableCryptographicHashIdentifiers. Chapter 4: Baseprotocol. 4.1 Base exchange. 4.2 OtherHIPcontrolpackets. 4.3 IPsec encapsulation. Chapter 5: Main extensions. 5.1 Mobility and multihoming. 5.2 Rendezvous server. 5.3 DNSextensions. 5.4 Registrationprotocol. Chapter 6: Advanced extensions. 6.1 Opportunistic mode. 6.2 Piggybacking transport headers to base exchange. 6.3 HIPservicediscovery. 6.4 Simultaneous multiaccess. 6.5 DisseminatingHITswitha presenceservice. 6.6 Multicast. Chapter 7: Performance measurements. 7.1 HIPonNokia InternetTablet. 7.2 Experimental results. 7.3 Summary. Chapter 8: Lightweight HIP. 8.1 Security functionality of HIP. 8.2 HIPhigh-levelgoals. 8.3 LHIPdesign. 8.4 LHIPperformance. 8.5 Discussion. Part III Infrastructure Support. Chapter 9: Middlebox traversal. 9.1 Requirements for traversinglegacymiddleboxes. 9.2 LegacyNATtraversal. 9.3 Requirements forHIP-awaremiddleboxes. 9.4 HIP-awarefirewall. Chapter 10: Name resolution. 10.1 Problemstatementofnaming. 10.2 DistributedHashTables. 10.3 HIPinterface toOpenDHT. 10.4 Overviewofoverlaynetworks. 10.5 Host Identity Indirection Infrastructure. 10.5.1 Separatingcontrol,data, andnaming. 10.5.2 Thedata plane. 10.5.3 Thecontrolplane. 10.5.4 Discussionof theHi3design. Chapter 11: Micromobility. 11.1 Local rendezvousservers. 11.2 Secure micromobility. 11.3 Network mobility. Chapter 12: Communication privacy. 12.1 SPINAT. 12.2 BLIND. 12.3 Anonymousidentifiers. Part IV Applications. Chapter 13: Possible HIP applications. 13.1 VirtualPrivateNetworking. 13.2 P2PInternetSharingArchitecture. 13.3 InteroperatingIPv4andIPv6. 13.4 SecureMobileArchitecture. 13.5 Liveapplicationmigration. 13.6 NetworkoperatorviewpointonHIP. Chapter 14: Application interface. 14.1 UsinglegacyapplicationswithHIP. 14.2 API fornativeHIPapplications. Chapter 15: Integrating HIP with other protocols. 15.1 GeneralizedHIP. 15.2 The use of Session Initiation Protocol. 15.3 EncapsulatingHIPdatausingSRTP. 15.4 ReplacingHIPbase exchangewithIKEv2. 15.5 MobileIPandHIP. 15.6 HIPproxyfor legacyhosts. Installing and using HIP. Bibliography. Index.

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Book SynopsisThe effective design of high-speed, reliable switching systems is essential for moving the huge volumes of traffic and multimedia over modern communications networks. This book explains all the main packet-switching architectures, including all theoretical and practical topics relevant to the design and management of high-speed networks. Delivering the most systematic coverage available of the subject, the authors interweave fundamental concepts with real-world applications and include engineering case studies from wireless and fiber-optic communications. Market: Hardware and Software Engineers in the telecommunication industry, System Engineers, and Technicians.Trade Review"...addresses the basics, theory, architectures, and technologies for implementing ATM switches and IP routers." (SciTech Book News, Vol. 26, No. 2, June 2002) "...a remarkable overview of switching architectures and techniques in different technological environments..." (IEEE Communications Magazine, September 2002)Table of ContentsPreface. Introduction. Basics of Packet Switching. Input-Buffered Switches. Shared-Memory Switches. Banyan-Based Switches. Knockout-Based Switches. The Abacus Switch. Crosspoint-Buffered Switches. The Tandem-Crosspoint Switch. Clos-Network Switches. Optical Packet Switches. Wireless ATM Switches. IP Route Lookups. Appendix: SONET and ATM Protocols. Index.

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Book SynopsisA proven, cost-effective approach to solving analog signal processing design problems Most design problems involving analog circuits require a great deal of creativity to solve. But, as the authors of this groundbreaking guide demonstrate, finding solutions to most analog signal processing problems does not have to be that difficult. Analog Signal Processing presents an original, five-step, design-oriented approach to solving analog signal processing problems using standard ICs as building blocks. Unlike most authors who prescribe a bottom-up approach, Professors Pallás-Areny and Webster cast design problems first in functional terms and then develop possible solutions using available ICs, focusing on circuit performance rather than internal structure. The five steps of their approach move from signal classification, definition of desired functions, and description of analog domain conversions to error classification and error analysis. Featuring 90 worked exTable of ContentsSignals and Signal Processing. Voltage Amplification. Current-to-Voltage and Voltage-to-Current Conversion. Linear Analog Functions. AC/DC Signal Conversion. Other Nonlinear Analog Functions. Analog Signal Filtering. Analog Signal Switching, Multiplexing and Sampling. Error Analysis and Reduction. Interference and Its Reduction. Noise, Drift and Their Reduction. Appendices. Index.

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Book SynopsisAddresses communication skills fundamental to engineering success. Grounded in rhetorical theory, the book helps engineers develop flexible strategies for researching, inventing, drafting, and revising, and for meeting the challenges of the audiences, purposes, and contexts encountered at work.Table of ContentsPlanning and Inventing Strategies. Drafting and Revising Strategies. Rhetorical Strategies. Strategies for Teamwork and Workplace Communication. Oral Presentation Strategies. Stylistic Strategies. Format Strategies. Document Strategies and Sample Documentation. Index.

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Book SynopsisA readable, understandable introduction to DSP for professionals and students alike... This practical guide is a welcome alternative to more complicated introductions to DSP.Table of ContentsThe Development of Digital Signal Processing. Why Do It Digitally Anyway? Converting Analog to Digital. Filtering. Transforming Signals into the Frequency Domain. Encoding of Waveforms-Increasing the Channel Bandwidth. Practical DSP Hardware Design Issues. DSP System Design Flow. Glossary of Acronyms. Index.

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Book SynopsisThis book presents coverage of the performance, design principles and analysis of optical communication systems operating under nonlinear propagation regimes. It includes an application based comparison of different systems, so that the reader can determine the right system for his application.Table of ContentsOptical Fiber Propagation. Optical Amplifiers. Optical Transmission Systems. Soliton Optical Communications. Repeaterless Systems. Long Distance TDM Transmission. WDM Optically Amplified Systems. Transmission in All-Optical Networks. Appendices. Index.

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Book SynopsisWith more and more information being transmitted over fiber optic cables, optical filtering is becoming crucial to the smooth operation of optical communication networks. This book presents digital signal processing techniques for the design of optical filters, covering filters used in narrow band filtering and optical signal processing.Table of ContentsFundamentals of Electromagnetic Waves and Waveguides. Digital Filter Concepts for Optical Filters. Multi-Stage MA Architectures. Multi- Stage AR Architectures. Multi-Stage ARMA Filters. Optical Measurements and Filter Analysis. Future Directions. Index.

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Book SynopsisThis is the first book to provide comprehensive coverage of hardware and circuit design specifically for engineers working in wireless communications. It serves as a reference for practicing engineers and technicians working in the areas of RF, microwaves, communications, solid-state devices, and radar.Table of ContentsPreface. Introduction. General Wireless Systems. Overview of Active Devices and Circuit Technologies. Transmitter and Receiver System Parameters. Transmission Lines and Impedance Matching Techniques. Filters and Couplers. Switches. Low Noise Amplifiers. Mixers. Oscillators and Modulation. Power Amplifiers. Antennas. Index.

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Book SynopsisLidar (Light Detection and Ranging) operates on similar principles to RADAR but in lieu of radio waves, lidar uses a laser to scan through the atmosphere. In elastic lidar, light scattered back towards the lidar instrument from molecules and particles in the atmosphere is collected by a telescope and measured with a photodetector.Trade Review"A comprehensive overview of lidar technology, this handbook is intended for researchers, graduate students and lidar users." (Sea Technology, November 2004) "This book should be of significant value to researchers applying remote sensing to atmospheric problems, and of course will be of great interest to lidar specialists." (E-STREAMS, November 2004)Table of ContentsPreface. Definitions. 1. Atmospheric Properties. 1.1 Atmospheric Structure. 1.2 Atmospheric Properties. 2. Light Propagation in the Atmosphere. 2.1 Light Extinction and Transmittance. 2.2 Total and Directional Elastic Scattering of the Light Bean. 2.3 Light Scattering by Molecules and Particulates: Inelastic Scattering. 2.4 Light Absorption by Molecules and Particulates. 3. Fundamentals of the Lidar Technique. 3.1 Introduction to the Lidar Technique. 3.2 Lidar Equation and Its Constituents. 3.3 Elastic Lidar Hardware. 3.4 Practical Lidar Issues. 3.5 Eye Safety Issues and Hardware. 4. Detectors, Digitizers, Electronics. 4.1 Detectors. 4.2 Electric Circuits for Optical Detectors. 4.3 A-D Converters/Digitizers. 4.4 General. 5. Analytical Solutions of the Lidar Equation. 5.1 Simple Lidar-Equation Solution for a Homogene ous. 5.2 Basic Transformation of the Elastic Lidar Equation. 5.3 Lidar Equation Solution for a Single-Component Heterogeneous Atmosphere. 5.4 Lidar Equation Solution for a Two-Component Atmosphere. 5.5 Which Solution is Best? 6. Uncertainty Estimation for Lidar Measurements. 6.1 Uncertainty for the Slope Method. 6.2 Lidar Measurement Uncertainty in a Two-Component Atmosphere. 6.3 Background Constituent in the Original Lidar Signal and Lidar Signal Averaging. 7. Backscatter-to-Extinction Ratio. 7.1 Exploration of the Backscatter-to-Extinction Ratio on the Inversion Result. 7.2 Influence of Uncertainty in the Backscatter-to-Extinction Ratio. 8. Lidar Examination of Clear and Moderately Turbid Atmospheres. 8.1 One-Directional Lidar Measurements: Methods and Problems. 8.2 Inversion Techniques for a “Spotted” Atmosphere. 9. Multiangle Methods for Extinction Coefficient Determination. 9.1 Angle-Dependent Lidar Equation and Its Basic Solution. 9.2 Solution for the Layer-Integrated Form of the Angle-Dependent Lidar Equation. 9.3 Solution for the Two-Angle layer-Integrated Form of the Lidar Equation. 9.4 Two-Angle Solution for the Angle-Independent Lidar Equation. 9.5 High-Altitude Tropospheric Measurements with Lidar. 9.6 Which Method Us the Best? 10. Differential Absorption Lidar Technique (DIAL). 10.1 DIAL Processing Technique: Fundamentals. 10.2 DIAL Processing Technique: Problems. 10.3 Other Techniques for DIAL Data Processing. 11. Hardware Solutions to the Inversion Problem. 11.1 Use of N2 Raman Scattering for Extinction Measurement. 11.2 Resolution of Particulate and Molecular Scattering by Filtration. 11.3 Multiple-Wavelength Lidars. 12. Atmospheric Parameters from Elastic Lidar Data. 12.1 Visual Range in Horizontal Directions. 12.2 Visual Range in Slant Directions. 12.3 Temperature measurements. 12.4 Boundary Layer Height Determination. 12.5 Cloud Boundary Determination. 13. Wind Measurement Methods from Elastic Lidar Data. 13.1 Correlation Methods to Determine Wind Speed and Direction. 13.2 Edge Technique. 13.3 Fringe Imaging Technique. 13.4 Kinetic Energy, Dissipation Rate, and Divergence. Bibliography. Index.

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Book SynopsisThe book provides a complete introduction to signal analysis, and begins with analog and discrete signals, linear systems, analog and discrete Fourier transforms, sampling theory, and random signals. These are basic, their inclusion making the presentation suitable for introductory courses, selfstudy, and refreshers in the discipline.Table of ContentsPreface. Acknowledgments. 1 Signals: Analog, Discrete, and Digital. 1.1 Introduction to Signals. 1.1.1 Basic Concepts. 1.1.2 Time-Domain Description of Signals. 1.1.3 Analysis in the Time-Frequency Plane. 1.1.4 Other Domains: Frequency and Scale. 1.2 Analog Signals. 1.2.1 Definitions and Notation. 1.2.2 Examples. 1.2.3 Special Analog Signals. 1.3 Discrete Signals. 1.3.1 Definitions and Notation. 1.3.2 Examples. 1.3.3 Special Discrete Signals. 1.4 Sampling and Interpolation. 1.4.1 Introduction. 1.4.2 Sampling Sinusoidal Signals. 1.4.3 Interpolation. 1.4.4 Cubic Splines. 1.5 Periodic Signals. 1.5.1 Fundamental Period and Frequency. 1.5.2 Discrete Signal Frequency. 1.5.3 Frequency Domain. 1.5.4 Time and Frequency Combined. 1.6 Special Signal Classes. 1.6.1 Basic Classes. 1.6.2 Summable and Integrable Signals. 1.6.3 Finite Energy Signals. 1.6.4 Scale Description. 1.6.5 Scale and Structure. 1.7 Signals and Complex Numbers. 1.7.1 Introduction. 1.7.2 Analytic Functions. 1.7.3 Complex Integration. 1.8 Random Signals and Noise. 1.8.1 Probability Theory. 1.8.2 Random Variables. 1.8.3 Random Signals. 1.9 Summary. 1.9.1 Historical Notes. 1.9.2 Resources. 1.9.3 Looking Forward. 1.9.4 Guide to Problems. References. Problems. 2 Discrete Systems and Signal Spaces. 2.1 Operations on Signals. 2.1.1 Operations on Signals and Discrete Systems. 2.1.2 Operations on Systems. 2.1.3 Types of Systems. 2.2 Linear Systems. 2.2.1 Properties. 2.2.2 Decomposition. 2.3 Translation Invariant Systems. 2.4 Convolutional Systems. 2.4.1 Linear, Translation-Invariant Systems. 2.4.2 Systems Defined by Difference Equations. 2.4.3 Convolution Properties. 2.4.4 Application: Echo Cancellation in Digital Telephony. 2.5 The lp Signal Spaces. 2.5.1 lp Signals. 2.5.2 Stable Systems. 2.5.3 Toward Abstract Signal Spaces. 2.5.4 Normed Spaces. 2.5.5 Banach Spaces. 2.6 Inner Product Spaces. 2.6.1 Definitions and Examples. 2.6.2 Norm and Metric. 2.6.3 Orthogonality. 2.7 Hilbert Spaces. 2.7.1 Definitions and Examples. 2.7.2 Decomposition and Direct Sums. 2.7.3 Orthonormal Bases. 2.8 Summary. References. Problems. 3 Analog Systems and Signal Spaces. 3.1 Analog Systems. 3.1.1 Operations on Analog Signals. 3.1.2 Extensions to the Analog World. 3.1.3 Cross-Correlation, Autocorrelation, and Convolution. 3.1.4 Miscellaneous Operations. 3.2 Convolution and Analog LTI Systems. 3.2.1 Linearity and Translation-Invariance. 3.2.2 LTI Systems, Impulse Response, and Convolution. 3.2.3 Convolution Properties. 3.2.4 Dirac Delta Properties. 3.2.5 Splines. 3.3 Analog Signal Spaces. 3.3.1 Lp Spaces. 3.3.2 Inner Product and Hilbert Spaces. 3.3.3 Orthonormal Bases. 3.3.4 Frames. 3.4 Modern Integration Theory. 3.4.1 Measure Theory. 3.4.2 Lebesgue Integration. 3.5 Distributions. 3.5.1 From Function to Functional. 3.5.2 From Functional to Distribution. 3.5.3 The Dirac Delta. 3.5.4 Distributions and Convolution. 3.5.5 Distributions as a Limit of a Sequence. 3.6 Summary. 3.6.1 Historical Notes. 3.6.2 Looking Forward. 3.6.3 Guide to Problems. References. Problems. 4 Time-Domain Signal Analysis. 4.1 Segmentation. 4.1.1 Basic Concepts. 4.1.2 Examples. 4.1.3 Classification. 4.1.4 Region Merging and Splitting. 4.2 Thresholding. 4.2.1 Global Methods. 4.2.2 Histograms. 4.2.3 Optimal Thresholding. 4.2.4 Local Thresholding. 4.3 Texture. 4.3.1 Statistical Measures. 4.3.2 Spectral Methods. 4.3.3 Structural Approaches. 4.4 Filtering and Enhancement. 4.4.1 Convolutional Smoothing. 4.4.2 Optimal Filtering. 4.4.3 Nonlinear Filters. 4.5 Edge Detection. 4.5.1 Edge Detection on a Simple Step Edge. 4.5.2 Signal Derivatives and Edges. 4.5.3 Conditions for Optimality. 4.5.4 Retrospective. 4.6 Pattern Detection. 4.6.1 Signal Correlation. 4.6.2 Structural Pattern Recognition. 4.6.3 Statistical Pattern Recognition. 4.7 Scale Space. 4.7.1 Signal Shape, Concavity, and Scale. 4.7.2 Gaussian Smoothing. 4.8 Summary. References. Problems. 5 Fourier Transforms of Analog Signals. 5.1 Fourier Series. 5.1.1 Exponential Fourier Series. 5.1.2 Fourier Series Convergence. 5.1.3 Trigonometric Fourier Series. 5.2 Fourier Transform. 5.2.1 Motivation and Definition. 5.2.2 Inverse Fourier Transform. 5.2.3 Properties. 5.2.4 Symmetry Properties. 5.3 Extension to L2(R). 5.3.1 Fourier Transforms in L1(R) ∩ L2(R). 5.3.2 Definition. 5.3.3 Isometry. 5.4 Summary. 5.4.1 Historical Notes. 5.4.2 Looking Forward. References. Problems. 6 Generalized Fourier Transforms of Analog Signals. 6.1 Distribution Theory and Fourier Transforms. 6.1.1 Examples. 6.1.2 The Generalized Inverse Fourier Transform. 6.1.3 Generalized Transform Properties. 6.2 Generalized Functions and Fourier Series Coefficients. 6.2.1 Dirac Comb: A Fourier Series Expansion. 6.2.2 Evaluating the Fourier Coefficients: Examples. 6.3 Linear Systems in the Frequency Domain. 6.3.1 Convolution Theorem. 6.3.2 Modulation Theorem. 6.4 Introduction to Filters. 6.4.1 Ideal Low-pass Filter. 6.4.2 Ideal High-pass Filter. 6.4.3 Ideal Bandpass Filter. 6.5 Modulation. 6.5.1 Frequency Translation and Amplitude Modulation. 6.5.2 Baseband Signal Recovery. 6.5.3 Angle Modulation. 6.6 Summary. References. Problems. 7 Discrete Fourier Transforms. 7.1 Discrete Fourier Transform. 7.1.1 Introduction. 7.1.2 The DFT’s Analog Frequency-Domain Roots. 7.1.3 Properties. 7.1.4 Fast Fourier Transform. 7.2 Discrete-Time Fourier Transform. 7.2.1 Introduction. 7.2.2 Properties. 7.2.3 LTI Systems and the DTFT. 7.3 The Sampling Theorem. 7.3.1 Band-Limited Signals. 7.3.2 Recovering Analog Signals from Their Samples. 7.3.3 Reconstruction. 7.3.4 Uncertainty Principle. 7.4 Summary. References. Problems. 8 The z-Transform. 8.1 Conceptual Foundations. 8.1.1 Definition and Basic Examples. 8.1.2 Existence. 8.1.3 Properties. 8.2 Inversion Methods. 8.2.1 Contour Integration. 8.2.2 Direct Laurent Series Computation. 8.2.3 Properties and z-Transform Table Lookup. 8.2.4 Application: Systems Governed by Difference Equations. 8.3 Related Transforms. 8.3.1 Chirp z-Transform. 8.3.2 Zak Transform. 8.4 Summary. 8.4.1 Historical Notes. 8.4.2 Guide to Problems. References. Problems. 9 Frequency-Domain Signal Analysis. 9.1 Narrowband Signal Analysis. 9.1.1 Single Oscillatory Component: Sinusoidal Signals. 9.1.2 Application: Digital Telephony DTMF. 9.1.3 Filter Frequency Response. 9.1.4 Delay. 9.2 Frequency and Phase Estimation. 9.2.1 Windowing. 9.2.2 Windowing Methods. 9.2.3 Power Spectrum Estimation. 9.2.4 Application: Interferometry. 9.3 Discrete filter design and implementation. 9.3.1 Ideal Filters. 9.3.2 Design Using Window Functions. 9.3.3 Approximation. 9.3.4 Z-Transform Design Techniques. 9.3.5 Low-Pass Filter Design. 9.3.6 Frequency Transformations. 9.3.7 Linear Phase. 9.4 Wideband Signal Analysis. 9.4.1 Chirp Detection. 9.4.2 Speech Analysis. 9.4.3 Problematic Examples. 9.5 Analog Filters. 9.5.1 Introduction. 9.5.2 Basic Low-Pass Filters. 9.5.3 Butterworth. 9.5.4 Chebyshev. 9.5.5 Inverse Chebyshev. 9.5.6 Elliptic Filters. 9.5.7 Application: Optimal Filters. 9.6 Specialized Frequency-Domain Techniques. 9.6.1 Chirp-z Transform Application. 9.6.2 Hilbert Transform. 9.6.3 Perfect Reconstruction Filter Banks. 9.7 Summary. References. Problems. 10 Time-Frequency Signal Transforms. 10.1 Gabor Transforms. 10.1.1 Introduction. 10.1.2 Interpretations. 10.1.3 Gabor Elementary Functions. 10.1.4 Inversion. 10.1.5 Applications. 10.1.6 Properties. 10.2 Short-Time Fourier Transforms. 10.2.1 Window Functions. 10.2.2 Transforming with a General Window. 10.2.3 Properties. 10.2.4 Time-Frequency Localization. 10.3 Discretization. 10.3.1 Transforming Discrete Signals. 10.3.2 Sampling the Short-Time Fourier Transform. 10.3.3 Extracting Signal Structure. 10.3.4 A Fundamental Limitation. 10.3.5 Frames of Windowed Fourier Atoms. 10.3.6 Status of Gabor’s Problem. 10.4 Quadratic Time-Frequency Transforms. 10.4.1 Spectrogram. 10.4.2 Wigner–Ville Distribution. 10.4.3 Ambiguity Function. 10.4.4 Cross-Term Problems. 10.4.5 Kernel Construction Method. 10.5 The Balian–Low Theorem. 10.5.1 Orthonormal Basis Decomposition. 10.5.2 Frame Decomposition. 10.5.3 Avoiding the Balian–Low Trap. 10.6 Summary. 10.6.1 Historical Notes. 10.6.2 Resources. 10.6.3 Looking Forward. References. Problems. 11 Time-Scale Signal Transforms. 11.1 Signal Scale. 11.2 Continuous Wavelet Transforms. 11.2.1 An Unlikely Discovery. 11.2.2 Basic Theory. 11.2.3 Examples. 11.3 Frames. 11.3.1 Discretization. 11.3.2 Conditions on Wavelet Frames. 11.3.3 Constructing Wavelet Frames. 11.3.4 Better Localization. 11.4 Multiresolution Analysis and Orthogonal Wavelets. 11.4.1 Multiresolution Analysis. 11.4.2 Scaling Function. 11.4.3 Discrete Low-Pass Filter. 11.4.4 Orthonormal Wavelet. 11.5 Summary. References. Problems. 12 Mixed-Domain Signal Analysis. 12.1 Wavelet Methods for Signal Structure. 12.1.1 Discrete Wavelet Transform. 12.1.2 Wavelet Pyramid Decomposition. 12.1.3 Application: Multiresolution Shape Recognition. 12.2 Mixed-Domain Signal Processing. 12.2.1 Filtering Methods. 12.2.2 Enhancement Techniques. 12.3 Biophysical Applications. 12.3.1 David Marr’s Program. 12.3.2 Psychophysics. 12.4 Discovering Signal Structure. 12.4.1 Edge Detection. 12.4.2 Local Frequency Detection. 12.4.3 Texture Analysis. 12.5 Pattern Recognition Networks. 12.5.1 Coarse-to-Fine Methods. 12.5.2 Pattern Recognition Networks. 12.5.3 Neural Networks. 12.5.4 Application: Process Control. 12.6 Signal Modeling and Matching. 12.6.1 Hidden Markov Models. 12.6.2 Matching Pursuit. 12.6.3 Applications. 12.7 Afterword. References. Problems. Index.

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Book SynopsisA guide to the theory and application of methods of projections. With the rise of powerful personal computers, methods of vector space projections have moved rapidly from the realm of theory into widespread use. This book reflects the growing interest in the application of these methods to problem solving in science and engineering.Trade Review"...a very useful addition among classical signal processingtexts...it can be warmly recommended..." (Analog Dialogue,Vol. 36, No. 5, September-October 2002)Table of ContentsVector Space Concepts. Projections Onto Convex Sets. Elementary Projectors. Solutions of Linear Equations. Generalized Projections. Applications to Communications. Application to Optics. Applications to Neural Nets. Applications to Image Processing. Index.

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Book SynopsisExpertly combining the fields of computer architecture theory and digital signal processing (DSP), this comprehensive, single-volume resource provides everything circuit designers and computer professionals need to stay on top of the rapid changes in VLSI (Very Large Scale Integration) design for DSP.Trade Review"Globally there hardly exist more than a dozen book references on the subject of DSP hardware design. Among them…[Parhi's book is one of the] incontestable leaders, in both depth and breadth." (Analog Dialogue)Table of ContentsIntroduction to Digital Signal Processing Systems. Iteration Bound. Pipelining and Parallel Processing. Retiming. Unfolding. Folding. Systolic Architecture Design. Fast Convolution. Algorithmic Strength Reduction in Filters and Transforms. Pipelined and Parallel Recursive and Adaptive Filters. Scaling and Roundoff Noise. Digital Lattice Filter Structures. Bit-Level Arithmetic Architectures. Redundant Arithmetic. Numerical Strength Reduction. Synchronous, Wave, and Asynchronous Pipelines. Low-Power Design. Programmable Digital Signal Processors. Appendices. Index.

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Book SynopsisA practical guide to using the TMS320C31 DSP Starter Kit With applications and demand for high-performing digital signalprocessors expanding rapidly, it is becoming increasingly importantfor today''s students and practicing engineers to master real-timedigital signal processing (DSP) techniques. Digital Signal Processing: Laboratory Experiments Using C and theTMS320C31 DSK offers users a practical--and economicalm--approachto understanding DSP principles, designs, and applications.Demonstrating Texas Instruments'' (TI) state-of-the-art, low-pricedDSP Starter Kit (DSK), this book clearly illustrates and integratespractical aspects of real-time DSP implementation techniques andcomplex DSP concepts into lab exercises and experiments. TI''sTMS320C31 digital signal processor provides substantial performancebenefits for designs that have floating-point capabilitiessupported by high-level language compilers. Most chapters begin with a theoretical discussion followedTable of ContentsDigital Signal Processing Development System. Architecture and Instruction Set of the TMS320C3x Processor. Input and Output with the DSK. Finite Impulse Response Filters. Infinite Impulse Response Filters. Fast Fourier Transform. Adaptive Filters. DSP Applications and Projects. Appendices. References. Index.

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