Digital signal processing (DSP) Books
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book gathers selected high-quality research papers presented at the 2nd International Conference on Advanced Computing Applications (ICACA 2021), held virtually during 27––28 March 2021. The book is divided into four sections. These are communication and computing, signal processing and multimedia, computational intelligence and data analytics and decision computing. The topics covered are advanced communication technologies, IoT-based systems and applications, network security and reliability, virtualization technologies, compressed sensors and multimedia applications, signal image and video processing, machine learning, pattern recognitions, intelligent computing, big data analytics, analytics in bio-computing, AI-driven 6G mobile wireless networks and autonomous driving.Table of ContentsInternet of Things-based Animal Health Monitoring and Management.- Cryptanalysis of an Authentication and Key Management Scheme in Context of Generic Hierarchical IoT Network.- Personalized Smart Recommendation System for Industrial Internet of Things.- IoT Based Anti-Poaching Technology to Save Wildlife.- GeoLens: Geospatial Location Exploration Using Mobile Crowdsensing in Tourism 4.0: A case study of Kunjanagar, Falakata, West Bengal.- IoT Cloud System for Streetlights Monitoring based on Solar Energy using ESP32.- Smart Vehicle Management System using Internet of Vehicles (IoV).- IoT Based Real Time HRV Performance Analysis.- Implementation of Acoustic Source Localization on Edge-IoT Platform.- Internet of Things Platform for Advantageous Renewable Energy Generation.
£179.99
Springer Verlag, Singapore The International Conference on Image, Vision and
Book SynopsisThis book is a collection of the papers accepted by the ICIVIS 2021—The International Conference on Image, Vision and Intelligent Systems held on June 15–17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.Table of ContentsImage and Vision.- Intelligent Systems.- Computation and Application.
£359.99
Springer Verlag, Singapore Image Copy-Move Forgery Detection: New Tools and
Book SynopsisThis book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.Table of ContentsIntroduction.- Background Study and Analysis.- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features.- Blur Invariant Block-based CMFD System using FWHT Features.- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection.- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm.- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.
£104.49
Springer Verlag, Singapore Advance Concepts of Image Processing and Pattern
Book SynopsisThe book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.Table of ContentsChapter 1: Introduction of Image processingChapter 2: Image Enhancement Chapter 3: Image segmentation and image colorization Chapter 4: Image classification, fusion, and reconstruction Chapter 5: Feature Extraction Chapter 6: Pattern recognition and computer vision applications in Agriculture, GIS, Surveillance and Robotics. Chapter 7: Statistical Pattern Recognition and Supervised Learning Chapter 8: Artificial Intelligence, Machine and Deep Learning for pattern recognition Chapter 9: Image compression and Cloud Imaging Chapter 10: Neural network and data science in image processing Chapter 11: Imaging acquisition and Biometrics Chapter 12: Application of medical Imaging in telemedicine. Chapter 13: Digital Image security, privacy, and future challenges Chapter 14: AI methodologies for medical images analysis
£999.99
Springer Verlag, Singapore Advances in Information Communication Technology
Book SynopsisThe book is a collection of best selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2021), held in Government Engineering College Bikaner, Bikaner, India, during 20–21 December 2021. The book covers ICT-based approaches in the areas of ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI or Artificial intelli computational sustainability.Table of ContentsChapter 1. Smart Society Development Analysis and Controlbased on an Inductive Inference Method.- Chapter 2. The Emergence of sustainability Adoption in the Healthcare Sector during Covid-19.- Chapter 3. Ultra Wide Band Radar System for Respiratory Detection and Localization of Static Multi-Targets in LOS confined Environment.- Chapter 4. Omnichannel Integration Quality, Perceived Value and Brand Loyalty in the consumer electronics market: The Mediating effect of Consumer Personality.- Chapter 5. Examining the Impact of Incorporating Big Data Analytics in Agriculture.- Chapter 6. Online Teaching Strategies for IT Education.- Chapter 7. Smart and Intelligent Health Monitoring System.- Chapter 8. Energy Efficient OLSR Routing Protocol for Flying Ad-Hoc Networks.- Chapter 9. Challenges in Malware Detection and effecting areas: Survey.- Chapter 10. Integrated Smart IoT Infrastructure Management using Window Blockchain and Whale LSTM Approaches.- Chapter 11. Driving analysis for load and fuel consumption using OBD II diagnostics.- Chapter 12. 2D and 3D Human Pose Estimation and Analysis using Deep Learning.- Chapter 13. The Comprehensive Art of Atmospheric Turbulence Mitigation Methodologies for Visible and Infrared Sequences.- Chapter 14. Graphical interpretation and multi-dimensional data visualization on Heart Disease Dataset.
£143.99
Springer Verlag, Singapore Soft Computing: Theories and Applications:
Book SynopsisThis book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2021), organized online. The book offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
£224.99
Springer Verlag, Singapore 3D Imaging—Multidimensional Signal Processing and
Book SynopsisThis book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.Table of ContentsColor Restoration of RGB-NIR Images in Low-light Environment Using CycleGAN.- A Novel Space Division Rough Set Model for Feature Selection.- Development of Mobile Food Recognition System Based on Deep Convolutional Network.- Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey.- Network Intrusion Detection Based on Apriori-Kmeans Algorithm.- Global Analysis of Discrete S-I-R Models and S-I-S Systems.- Overview of SAR Image Change Detection Based on Segmentation.- Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network.- Full-Focus Imaging Detection of Ship Ultrasonic Phased Array Based on Directivity Function.- Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document.- Image Recognition Methods Based on Deep Learning.- Insulator Detection Study Based on Improved Faster-RCNN.- Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks.- Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning.- Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene.- Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology.- Citrus Positioning Method Based On Camera And Lidar Data Fusion.- Research on Graphic Design of Digital Media Art based on Computer Aided Algorithm.- Ore Detection Method Based on YOLOv4.
£189.99
Springer Verlag, Singapore Computer Vision and Robotics: Proceedings of CVR
Book SynopsisThis book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022. The book discusses applications of computer vision and robotics in the fields like medical science, defence and smart city planning. This book presents recent works from researchers, academicians, industry, and policy makers.Table of ContentsStory Telling: Learning to Visualize Sentences Through Generated Scenes.- A Novel Processing of Scalable Web Log Data using Map Reduce Framework.- A Review of Disease Detection of Pre and Post-Harvest Plant Diseases: Recent Developments and Future.- Comparative Study Based on Lung Cancer with Covid-19 Using Deep Learning and Machine Learning.- Low-cost Data Acquisition System for Electric Vehicles.- Machine Learning based Robotic-Assisted Upper Limb Rehabilitation Therapies: A Review.- Performance Analysis of Classic LEACH vs CC-LEACH.- Anomaly Detection in the Course Evaluation Process.- Self Attention Based Efficient U-Net for Crack Segmentation.- Lung Carcinoma Detection from CT Images Using Image Segmentation.- A Deep Learning Based Human Activity Recognition System for Monitoring the Elderly People.- Tweets Classification on the Base of Sentiments using Deep Learning.
£189.99
Springer Verlag, Singapore Soft Computing and Signal Processing: Proceedings
Book SynopsisThis book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.Table of ContentsChapter 1. Microservice Architecture Observability Tool Analysis.- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities.- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers.- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis.- Chapter 5. How AI Algorithms are being used in Applications.- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning.- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion.- Chapter 8. Deriving Insights from COVID-19.- Chapter 9. Smoke Detection in Forest Using Deep Learning.- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images.- Chapter 11. Visual Learning with Dynamic Recall.- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering.- Chapter 13. Automated Photomontage Generation with Neural Style Transfer.- Chapter 14. Machine Learning Model Development Using Computational Neurology.- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.
£208.99
Springer Verlag, Singapore Information Fusion in Distributed Sensor Networks
Book SynopsisThis book reviews the most powerful attack strategies and potential defense mechanisms, always approaching the interplay between the Fusion Center and the Byzantines from a game-theoretic perspective. For each of the settings considered, the equilibria of the game and the corresponding payoffs are derived, shedding new light on the achievable performance level and the impact that the presence of the Byzantines has on the accuracy of decisions made by the Fusion Center. Accordingly, the book offers a simple yet effective introduction to the emerging field of adversarial information fusion, providing a wealth of intuitive take-home lessons for practitioners interested in applying the most basic notions to the design of practical systems, while at the same time introducing researchers and other readers to the mathematical details behind the theory. Table of ContentsIntroduction.- Preliminaries.- Security attacks and defenses in distributed sensor networks.- A Heuristic defense: A soft isolation algorithm for adversarial decision fusion.- Optimum decision fusion in the presence of Byzantines.- Nearly optimum decision fusion via message passing.- Decision fusion of hidden-Markov observations with synchronized attacks.- Decision fusion with unbalanced priors.- Decision fusion game with incomplete knowledge in a Bayesian setup.- Conclusions.
£98.99
Springer-Verlag GmbH Proceedings of the Fifth International Conference on Intelligent Systems and Networks
Book SynopsisOptimizing Energy Consumption in LoRa Sensor Networks with the Nano Power System Timer TPL5111 for Forest Monitoring.- A comparative study of predicting stroke based on artificial intelligence algorithms.- Polyp Segmentation based on Mamba-MLP Mixer and Transformer.- Design and Implementation of a Chaos Injector to Improve Resilience in MQTT Based IoT Systems.- Adaptive Sliding Mode Control for Unmanned Surface Vehicle Using RBF Neural Network.- MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel Spatial Attention for Skin Lesion Segmentation.
£288.74
Springer Verlag, Singapore Advances in Data-driven Computing and Intelligent
Book SynopsisThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.Table of ContentsScenario Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings.- Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm.- Experimental analysis of “A novel swarm intelligence optimization approach: sparrow search algorithm”.- Solving FJSP using Multi-agent system with GA.- A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System.
£189.99
Springer Verlag, Singapore Emerging Electronics and Automation: Select
Book SynopsisThis book presents the select peer-reviewed proceedings of the 2nd International Conference on Emerging Electronics & Automation (E2A) 2022. The proceedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. This volume will be of interest to those in academia and industry.Table of ContentsA Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases.- Vernacular Language Handwriting Recognition using Deep Learning Techniques.- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks.- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation.- Design of Regenerative Snubber Circuit for Motor Drivers.- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty.- Unfalsified Adaptive Control of a Robotic System.- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device.- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models.- Handwritten Word Recognition in English Language.- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition.- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection.- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency.- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT.- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network.- Design and Implementation of Garbage Detection and Classification Using YOLO-V5.- Simulations towards design of Matching Layer in Acoustic Emission Sensor.- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid.- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors.- Study of Dielectric Characteristics of Forsterite Based Medical Implant.- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions.- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI.- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance.- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application.- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.
£237.49
Taylor & Francis Ltd Machine Learning in Signal Processing
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£142.50
Elsevier Science Digital Signal Processing A Practical Guide for Engineers and Scientists
Table of ContentsThe Breadth and Depth of DSP; Statistics, Probability and Noise; ADC and DAC; DSP Software; Linear Systems; Convolution; Properties of Convolution; The Discrete Fourier Transform; Applications of the DFT; Fourier Transform Properties; Fourier Transform Pairs; The Fast Fourier Transform; Continuous Signal Processing; Introduction to Digital Filters; Moving Average Filters; Windowed-Sinc Filters; Custom Filters; FFT Convolution; Recursive Filters; Chebyshev Filters; Filter Comparison; Audio Processing; Image Formation and Display; Linear Image Processing; Special Imaging Techniques; Neural Networks (and more!); Data Compression; Digital Signal Processors; Getting Started with DSPs; Complex Numbers; The Complex Fourier Transform; The Laplace Transform; The z-Transform; Index
£65.70
Taylor & Francis Ltd Random Signal Processing
Book SynopsisThis book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing.The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields.Key Features: Aimed at random signal processing with parametric signal processing-using appropriate segment size. Covers speech, image, medical images, EEG and ECG signal processing.Table of Contents1. Introduction to Random Signals. 2. Properties of Random Variables. 3. Multiple Random Variables and Random Process. 4. Detection and Estimation. 5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random Signals. 7. Statistical Speech processing. 8. Transform Domain Speech Processing. 9. Image Processing Techniques. 10. Applications of Random Signal Processing
£82.64
Cambridge University Press Bootstrap Techniques for Signal Processing
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£49.39
Cambridge University Press An Introduction to Statistical Signal Processing
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£45.59
Cambridge University Press Fast Algorithms for Signal Processing
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£147.25
Cambridge University Press ComplexValued Matrix Derivatives
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£104.00
Cambridge University Press Uncommon Causes of Movement Disorders
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£86.44
Cambridge University Press Hilbert Transforms Volume 2 125 Encyclopedia of Mathematics and its Applications Series Number 125
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£152.95
Cambridge University Press Optimal Combining and Detection
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£91.19
Cambridge University Press Essentials of ShortRange Wireless
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£48.44
Cambridge University Press Foundations of MIMO Communication
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£83.59
Cambridge University Press Bootstrap Techniques for Signal Processing
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£118.75
Cambridge University Press Introduction to Coding Theory
Book SynopsisThis 2006 book introduces the reader to the theoretical foundations of error-correcting codes, with an emphasis on Reed-Solomon codes and their derivative codes. It is designed to be accessible to a broad readership, including students of computer science, electrical engineering, and mathematics, from senior-undergraduate to graduate level.Trade Review'… a most welcome addition. … well tested as a course text. Features include, the extensive collections of interesting and nontrivial problems at the end of chapters, the clear and insightful explanations of some of the deeper aspects of the subject and the extensive, interesting and useful historical notes on the development of the subject. This is an excellent volume that will reward the participants in any course that uses it with a deep understanding and appreciation for the subject.' Ian F, Blake, University of Toronto'This book introduces the reader to the theoretical foundations of error-correctiong codes ... While mathematical rigor is maintained, the text is designed to be accessible to a broad readership, including students of computer science, electrical engineering, and mathematics, from senior undergraduate to graduate level.' L'enseignement mathematique'The mathematical style of this book is clear, concise and scholarly with a pleasing layout. There are numerous exercises, many with hints and many introducing further new concepts. Altogether this is an excellent book covering a wide range of topics in this area, and including an extensive bibliography.' Publication of the International Statistical Institute'The reader will find many well-chosen examples throughout the book and will be challenged by over 300 exercises, many of which have hints. Some of the exercises develop concepts that are not contained within the main body of the text. For example, the very first problem of the book, filling up more than an entire page of the text, introduces the AWGN channel and requires the reader to check the crossover probability of a memoryless binary symmetric channel. Zentralblatt MATHTable of ContentsPreface; 1. Introduction; 2. Linear codes; 3. Introduction to finite fields; 4. Bounds on the parameters of codes; 5. Reed-Solomon codes and related codes; 6. Decoding of Reed-Solomon codes; 7. Structure of finite fields; 8. Cyclic codes; 9. List decoding of Reed-Solomon codes; 10. Codes in the Lee metric; 11. MDS codes; 12. Concatenated codes; 13. Graph codes; 14. Trellis codes and convolutional codes; Appendix A. Basics in modern algebra; Bibliography; List of symbols; Index.
£75.99
Cambridge University Press Practical Signal Processing
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£100.70
Cambridge University Press Adaptive and Iterative Signal Processing in Communications
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£94.04
Cambridge University Press Quantum Processes Systems and Information
Book SynopsisA new and exciting approach to the basics of quantum theory, this undergraduate textbook contains extensive discussions of conceptual puzzles and over 800 exercises and problems. In addition to the standard topics covered in other textbooks, it covers communication and measurement, quantum entanglement, entropy and thermodynamics, and quantum information processing.Trade Review'This is a fantastic book, with one of the authors no less than the very inventor of the word and idea of a qubit. When I opened the book for the first time, I found I couldn't stop reading through it and working out some of the problems. … There's no book out there I would recommend more for learning the mechanics of this quantum world.' Chris Fuchs, Perimeter Institute for Theoretical Physics'One of the most original and insightful introductions to quantum mechanics ever written, this book is also an excellent introduction to the emerging field of quantum information science.' Michael Nielsen, co-author of Quantum Computation and Quantum Information'This superb new book by Ben Schumacher and Mike Westmoreland is perfectly suited for a modern undergraduate course on quantum mechanics that emphasizes fundamental notions from quantum information science, such as entanglement, Bell's theorem, quantum teleportation, quantum cryptography, and quantum error correction. The authors, who are themselves important contributors to the subject, have complete mastery of the material, and they write clearly and engagingly.' John Preskill, California Institute of Technology'This is a wonderful book! It covers the usual topics of a first course in quantum mechanics and much more, and it does so with an unusual conceptual depth. The inclusion of information theoretic ideas not only enriches the presentation of the basic theory - for example in helping to articulate the conditions under which quantum coherence is lost - it also opens up the large area of physics in which both quantum mechanical and information theoretic concepts play central roles.' William K. Wootters, Williams College'With its comprehensive presentation of both quantum mechanics and QIC, this book, written by two pioneers of this emerging new approach to computing, is really one of a kind … Most concepts that one would find in traditional nonrelativistic quantum mechanics physics books are presented in a clear and well thought-out manner (but be prepared for a bit more work when dealing with subtle notions such as quantum relative entropy or mutual information) … The brilliant pedagogical approach taken by the authors, who are able to present quite abstract notions using a clear and sprightly style, together with the quality of the editing … will provide both students and researchers interested in the growing field of QIC with a pleasant and informative read.' Computing Reviews'… a very impressive piece of work. It has clearly been refined over some time; the explanations and proofs that are scattered throughout the text are clearly written and elegant, and common themes are picked up repeatedly with increasing sophistication as the book goes along …' Mathematical Reviews'A bright undergraduate would get a tremendous grounding in modern quantum theory from reading this book, and solving the problems therein. So would many postgraduate students and academics wanting to get into the heart of quantum information research.' Howard M. Wiseman, Quantum Information ProcessingTable of Contents1. Bits and quanta; 2. Qubits; 3. States and observables; 4. Distinguishability and information; 5. Quantum dynamics; 6. Entanglement; 7. Information and ebits; 8. Density operators; 9. Open systems; 10. A particle in space; 11. Dynamics of a free particle; 12. Spin and rotation; 13. Ladder systems; 14. Many particles; 15. Stationary states in 1-D; 16. Bound states in 3-D; 17. Perturbation theory; 18. Quantum information processing; 19. Classical and quantum entropy; 20. Error correction; Appendixes; Index.
£59.84
Cambridge University Press Hilbert Transforms Volume 1 124 Encyclopedia of Mathematics and its Applications Series Number 124
Book SynopsisWritten to suit a wide audience (including physical sciences), these two volumes will become the reference of choice on the Hilbert transform, whatever the subject background of the reader. The author explains all the common Hilbert transforms, mathematical techniques for evaluating them, and has detailed discussions of their application.Trade Review"The author gives detailed and exhaustive information on almost all properties of the Hilbert transform... the selected topics are presented in an easy-to-use style." Lasha Ephremidze, Mathematical ReviewsTable of ContentsPreface; List of symbols; List of abbreviations; Volume I: 1. Introduction; 2. Review of some background mathematics; 3. Derivation of the Hilbert transform relations; 4. Some basic properties of the Hilbert transform; 5. Relationship between the Hilbert transform and some common transforms; 6. The Hilbert transform of periodic functions; 7. Inequalities for the Hilbert transform; 8. Asymptotic behavior of the Hilbert transform; 9. Hilbert transforms of some special functions; 10. Hilbert transforms involving distributions; 11. The finite Hilbert transform; 12. Some singular integral equations; 13. Discrete Hilbert transforms; 14. Numerical evaluation of Hilbert transforms; References; Subject index; Author index.
£127.30
Cambridge University Press Probability Random Processes and Statistical Analysis
Book SynopsisTogether with the fundamental topics, this book covers advanced theories and engineering applications, including the EM algorithm, hidden Markov models, and queueing and loss systems. A solutions manual, lecture slides and MATLAB programs all available online make this ideal for classroom teaching as well as a valuable reference for professionals.Trade Review'This book provides a very comprehensive, well-written and modern approach to the fundamentals of probability and random processes, together with their applications in the statistical analysis of data and signals. … It provides a one-stop, unified treatment that gives the reader an understanding of the models, methodologies and underlying principles behind many of the most important statistical problems arising in engineering and the sciences today.' Dean H. Vincent Poor, Princeton University'This is a well-written up-to-date graduate text on probabilty and random processes. It is unique in combining statistical analysis with the probabilistic material. As noted by the authors, the material, as presented, can be used in a variety of current application areas, ranging from communications to bioinformatics. I particularly liked the historical introduction, which should make the field exciting to the student, as well as the introductory chapter on probability, which clearly describes for the student the distinction between the relative frequency and axiomatic approaches to probability. I recommend it unhesitatingly. It deserves to become a leading text in the field.' Professor Emeritus Mischa Schwartz, Columbia University'Hisashi Kobayashi, Brian L. Mark, and William Turin are highly experienced university teachers and scientists. Based on this background their book covers not only fundamentals but also a large range of applications. Some of them are treated in a textbook for the first time. … Without any doubt the book will be extremely valuable to graduate students and to scientists in universities and industry as well. Congratulations to the authors!' Prof. Dr.-Ing. Eberhard Hänsler, Technische Universität Darmstadt'An up-to-date and comprehensive book with all the fundamentals in Probability, Random Processes, Stochastic Analysis, and their interplays and applications, which lays a solid foundation for the students in related areas. It is also an ideal textbook with five relatively independent but logically interconnected parts and the corresponding solution manuals and lecture slides. Furthermore, to my best knowledge, the similar editing in Part IV and Part V can't be found elsewhere.' Zhisheng Niu, Tsinghua UniversityTable of Contents1. Introduction; Part I. Probability, Random Variables and Statistics: 2. Probability; 3. Discrete random variables; 4. Continuous random variables; 5. Functions of random variables and their distributions; 6. Fundamentals of statistical analysis; 7. Distributions derived from the normal distribution; Part II. Transform Methods, Bounds and Limits: 8. Moment generating function and characteristic function; 9. Generating function and Laplace transform; 10. Inequalities, bounds and large deviation approximation; 11. Convergence of a sequence of random variables, and the limit theorems; Part III. Random Processes: 12. Random process; 13. Spectral representation of random processes and time series; 14. Poisson process, birth-death process, and renewal process; 15. Discrete-time Markov chains; 16. Semi-Markov processes and continuous-time Markov chains; 17. Random walk, Brownian motion, diffusion and itô processes; Part IV. Statistical Inference: 18. Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. Hidden Markov models and applications; 21. Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. Queuing and loss models.
£67.44
Cambridge University Press Toni Morrison and the Idea of Africa
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£85.49
Cambridge University Press Random Matrix Methods for Machine Learning
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£61.74
Cambridge University Press Pearls of Algorithm Engineering
Book SynopsisThere are many textbooks on algorithms focusing on big-O notation and basic design principles. This book offers a unique approach to taking the design and analyses to the level of predictable practical efficiency, discussing core and classic algorithmic problems that arise in the development of big data applications, and presenting elegant solutions of increasing sophistication and efficiency. Solutions are analyzed within the classic RAM model, and the more practically significant external-memory model that allows one to perform I/O-complexity evaluations. Chapters cover various data types, including integers, strings, trees, and graphs, algorithmic tools such as sampling, sorting, data compression, and searching in dictionaries and texts, and lastly, recent developments regarding compressed data structures. Algorithmic solutions are accompanied by detailed pseudocode and many running examples, thus enriching the toolboxes of students, researchers, and professionals interested in effeTrade Review'When I joined Google in 2000, algorithmic problems came up every day. Even strong engineers didn't have all the background they needed to design efficient algorithms. Paolo Ferragina's well-written and concise book helps fill that void. A strong software engineer who masters this material will be an asset.' Martin Farach-Colton, Rutgers University'There are plenty of books on Algorithm Design, but few about Algorithm Engineering. This is one of those rare books on algorithms that pays the necessary attention to the more practical aspects of the process, which become crucial when actual performance matters, and which render some theoretically appealing algorithms useless in real life. The author is an authority on this challenging path between theory and practice of algorithms, which aims at both conceptually nontrivial and practically relevant solutions. I hope the readers will find the reading as pleasant and inspiring as I did.' Gonzalo Navarro, University of Chile'Ferragina combines his skills as a coding engineer, an algorithmic mathematician, and a pedagogic innovator to engineer a string of pearls made up of beautiful algorithms. In this, beauty dovetails with computational efficiency. His data structures of Stringomics hold the promise for a better understanding of population of genomes and the history of humanity. It belongs in the library of anyone interested in the beauty of code and the code of beauty.' Bud Mishra, Courant Institute, New York University'There are many textbooks on algorithms focusing on big-O notation and general design principles. This book offers a completely unique aspect of taking the design and analyses to the level of predictable practical efficiency. No sacrifices in generality are made, but rather a convenient formalism is developed around external memory efficiency and parallelism provided by modern computers. The benefits of randomization are elegantly used for obtaining simple algorithms, whose insightful analyses provide the reader with useful tools to be applied to other settings. This book will be invaluable in broadening the computer science curriculum with a course on algorithm engineering.' Veli Makinen, University of HelsinkiTable of Contents1. Prologue; 2. A warm-up!; 3. Random sampling; 4. List ranking; 5. Sorting atomic items; 6. Set intersection; 7. Sorting strings; 8. The dictionary problem; 9. Searching strings by prefix; 10. Searching strings by substring; 11. Integer coding; 12. Statistical coding; 13. Dictionary-based compressors; 14. The burrows-wheeler transform; 15. Compressed data structures; 16. Conclusion.
£47.49
Cambridge University Press Channel Codes
a huge range and FREE tracked UK delivery on ALL orders.
£71.24
Cambridge University Press Compressed Sensing Theory and Applications
Book SynopsisCompressed sensing has rapidly become a key concept in various areas of applied mathematics, computer science and electrical engineering. This book highlights theoretical advances and applications in this area. Ideal for both researchers and graduate students seeking an understanding of the potential of compressed sensing.Trade Review'… a charming encouragement to fascinating scientific adventure for talented students. Also … a solid reference platform for researchers in many fields.' Artur Przelaskowski, IEEE Communications MagazineTable of Contents1. Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and Gitta Kutyniok; 2. Second generation sparse modeling: structured and collaborative signal analysis Alexey Castrodad, Ignacio Ramirez, Guillermo Sapiro, Pablo Sprechmann and Guoshen Yu; 3. Xampling: compressed sensing of analog signals Moshe Mishali and Yonina C. Eldar; 4. Sampling at the rate of innovation: theory and applications Jose Antonia Uriguen, Yonina C. Eldar, Pier Luigi Dragotta and Zvika Ben-Haim; 5. Introduction to the non-asymptotic analysis of random matrices Roman Vershynin; 6. Adaptive sensing for sparse recovery Jarvis Haupt and Robert Nowak; 7. Fundamental thresholds in compressed sensing: a high-dimensional geometry approach Weiyu Xu and Babak Hassibi; 8. Greedy algorithms for compressed sensing Thomas Blumensath, Michael E. Davies and Gabriel Rilling; 9. Graphical models concepts in compressed sensing Andrea Montanari; 10. Finding needles in compressed haystacks Robert Calderbank, Sina Jafarpour and Jeremy Kent; 11. Data separation by sparse representations Gitta Kutyniok; 12. Face recognition by sparse representation Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma and John Wright.
£79.99
Cambridge University Press Random Matrix Methods for Wireless Communications
Book SynopsisBlending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of real-world problems in wireless communications. Intuitive yet rigorous, it demonstrates how to choose the correct approach for obtaining mathematically accurate results.Table of Contents1. Introduction; Part I. Theoretical Aspects: 2. Random matrices; 3. The Stieltjes transform method; 4. Free probability theory; 5. Combinatoric approaches; 6. Deterministic equivalents; 7. Spectrum analysis; 8. Eigen-inference; 9. Extreme eigenvalues; 10. Summary and partial conclusions; Part II. Applications to Wireless Communications: 11. Introduction to applications in telecommunications; 12. System performance of CDMA technologies; 13. Performance of multiple antenna systems; 14. Rate performance in multiple access and broadcast channels; 15. Performance of multi-cellular and relay networks; 16. Detection; 17. Estimation; 18. System modeling; 19. Perspectives; 20. Conclusion.
£85.49
Cambridge University Press The Mathematics of Signal Processing Cambridge Texts in Applied Mathematics Series Number 48
Book SynopsisArising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Îx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.Trade Review'Damelin and Miller provide a very detailed and thorough treatment of all the important mathematics related to signal processing. This includes the required background information found in elementary mathematics courses, so their book is really self-contained. The style of writing is suitable not only for mathematicians, but also for practitioners from other areas. Indeed, Damelin and Miller managed to write their text in a form that is accessible to nonspecialists, without giving up mathematical rigor.' Kai Diethelm, Computing Reviews'In the last 20 years or so, many books on wavelets have been published; most of them deal with wavelets from either the engineering or the mathematics perspective, but few try to connect the two viewpoints. The book under review falls under the last category … Overall, the book is a good addition to the literature on engineering mathematics.' Ahmed I. Zayed, Mathematical ReviewsTable of Contents1. Introduction; 2. Normed vector spaces; 3. Analytic tools; 4. Fourier series; 5. Fourier transforms; 6. Compressive sensing; 7. Discrete transforms; 8. Linear filters; 9. Windowed Fourier transforms, continuous wavelets, frames; 10. Multiresolution analysis; 11. Discrete wavelet theory; 12. Biorthogonal filters and wavelets; 13. Parsimonious representation of data; Bibliography; Index.
£105.45
Cambridge University Press Fundamentals of Stream Processing Application Design Systems and Analytics
Book SynopsisStream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.Table of ContentsPart I. Fundamentals: 1. What brought us here?; 2. Introduction to stream processing; Part II. Application Development: 3. Application development - the basics; 4. Application development - data flow programming; 5. Large-scale development - modularity, extensibility, and distribution; 6. Application engineering - debugging and visualization; Part III. System Architecture: 7. Architecture of a stream processing system; 8. InfoSphere streams architecture; Part IV. Application Design and Analytics: 9. Design principles and patterns for stream processing applications; 10. Stream processing and mining algorithms; Part V. Case Studies: 11. End-to-end application examples; Part VI. Closing Notes: 12. Conclusion.
£79.79
Cambridge University Press Fundamentals of Massive MIMO
Book SynopsisWritten by the concept's pioneers, this is the first complete guide to the physical and engineering principles of Massive MIMO. Richly illustrated by numerous case studies, it covers key topics such as propagation models, channel modeling, and cell analysis, and stresses capacity bounds. Problem sets and solutions are provided online.Trade Review'Massive MIMO has, over the past few years, become one of the hottest research topics in wireless, and will be a key component of 5G. This book is written by pioneers of the area in a systematic and lucid way, and works out the fundamentals without getting lost in the details. I highly recommend it to anybody working in this field.' Andreas Molisch, University of Southern California, Los Angeles'Bright and profound, this book provides the fundamentals to understand the unique capabilities of Massive MIMO and illustrates the benefits for specific use cases. The authors are scientific pioneers and masters in explaining and sharing their proficiency in this book: it is an intellectual treat for everyone fascinated by Massive MIMO technology!' Liesbet van der Perre, Katholieke Universiteit Leuven, Belgium'A very timely text by some of the 'founding fathers' of massive MIMO. This is a great book for both the beginner, with its simple but enlightening examples, as well as a great reference text for the more experienced engineer. The book is concise and to the point, and the summary and key points at the end of each chapter make it easy to focus your reading. Highly recommended for those that want to get an in-depth understanding of massive MIMO without spending months doing so.' Lee Swindlehurst, University of California, Irvine'The book Fundamentals of Massive MIMO elegantly combines the basic principles of large multi-user MIMO wireless systems with practical case studies, which makes it useful for both researchers and practitioners. The fact that the book is fully self-contained also makes it an excellent teaching resource. There is no doubt that it will become the standard reference on massive MIMO.' Christoph Studer, Cornell University'Massive MIMO will dramatically change the way we use multiple antenna technologies in next generation mobile wireless cellular systems, offering new potential for effective interference mitigation while maximizing spectral efficiency; this book, written by a group of experts in the field including the inventor of this new and exciting technology himself, will prove to be an invaluable reference for every wireless communications engineer.' Stephan ten Brink, University of Stuttgart, Germany'This is an excellent book on a very timely topic, written by some of the top researchers in the area of massive MIMO. I would encourage researchers, students and practicing engineers to consult this book.' Rick S. Blum, Lehigh University, PennsylvaniaTable of Contents1. Introduction; 2. Models and preliminaries; 3. Single-cell systems; 4. Multi-cell systems; 5. Power control principles; 6. Case studies; 7. The Massive MIMO propagation channel; 8. Final notes and future directions.
£65.54
McGraw-Hill Education - Europe Signals and Systems Analysis Using Transform
Book SynopsisSignals and Systems: Analysis Using Transform Methods and MATLAB has been extensively updated, while retaining the emphasis on fundamental applications and theory. The text includes a wealth of exercises, including drill exercises, and more challenging conceptual problems.McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.Table of Contents1) Introduction2) Mathematical Description of Continuous-Time Signals3) Discrete-Time Signal Description4) Description of Systems5) Time-Domain System Analysis6) Continuous-Time Fourier Methods7) Discrete-Time Fourier Methods8) The Laplace Transform9) The z Transform10) Sampling and Signal Processing11) Frequency Response Analysis12) Laplace System Analysis13) z-Transform System Analysis14) Filter Analysis and DesignAppendix I – Useful Mathematical RelationsAppendix II – Continuous-Time Fourier Series PairsAppendix III – Discrete Fourier Transform PairsAppendix IV – Continuous-Time Fourier Transform PairsAppendix V – Discrete-Time Fourier Transform PairsAppendix VI – Tables of Laplace Transform PairsAppendix VII – z-Transform PairsBibliographyIndex
£190.94
Pearson Education Digital Image Processing
Book SynopsisRafael C. Gonzalez received the B.S.E.E. degree from the University of Miami in 1965 and the M.E. and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville, in 1967 and 1970, respectively. He joined the Electrical and Computer Engineering Department at University of Tennessee, Knoxville (UTK) in 1970, where he became Associate Professor in 1973, Professor in 1978, and Distinguished Service Professor in 1984. He served as Chairman of the department from 1994 through 1997. He is currently a Professor Emeritus at UTK. Gonzalez is the founder of the Image & Pattern Analysis Laboratory and the Robotics & Computer Vision Laboratory at the University of Tennessee. He also founded Perceptics Corporation in 1982 and was its president until 1992. The last three years of this period were spent under a full-time employment contract with Westinghouse Corporation, who acquired the compaTable of Contents1. Introduction What Is Digital Image Processing? The Origins of Digital Image Processing Examples of Fields that Use Digital Image Processing Fundamental Steps in Digital Image Processing Components of an Image Processing System 2. Digital Image Fundamentals Elements of Visual Perception Light and the Electromagnetic Spectrum. Image Sensing and Acquisition Image Sampling and Quantization Some Basic Relationships Between Pixels An Introduction to the Mathematical Tools Used in Digital Image Processing 3. Intensity Transformations and Spatial Filtering Background Some Basic Intensity Transformation Functions Histogram Processing. Fundamentals of Spatial Filtering Smoothing Spatial Filters Sharpening Spatial Filters Combining Spatial Enhancement Methods Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering 4. Filtering in the Frequency Domain Background Preliminary Concepts Sampling and the Fourier Transform of Sampled Functions The Discrete Fourier Transform (DFT) of One Variable Extension to Functions of Two Variables Some Properties of the 2-D Discrete Fourier Transform The Basics of Filtering in the Frequency Domain Image Smoothing Using Frequency Domain Filters Image Sharpening Using Frequency Domain Filters Selective Filtering Implementation 5. Image Restoration and Reconstruction A Model of the Image Degradation/Restoration Process Noise Models Restoration in the Presence of Noise Only–Spatial Filtering Periodic Noise Reduction by Frequency Domain Filtering Linear, Position-Invariant Degradations. Estimating the Degradation Function Inverse Filtering Minimum Mean Square Error (Wiener) Filtering Constrained Least Squares Filtering. Geometric Mean Filter Image Reconstruction from Projections. 6. Color Image Processing Color Fundamentals Color Models Pseudocolor Image Processing Basics of Full-Color Image Processing Color Transformations. Smoothing and Sharpening Image Segmentation Based on Color Noise in Color Images Color Image Compression 7. Wavelets and Multiresolution Processing Background Multiresolution Expansions Wavelet Transforms in One Dimension The Fast Wavelet Transform Wavelet Transforms in Two
£253.53
Pearson Education Signals and Systems
a huge range and FREE tracked UK delivery on ALL orders.
£252.64
John Wiley & Sons Inc Discover Signal Processing
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.
£81.65
John Wiley and Sons Ltd Signals and Systems
Book SynopsisThis title provides an integrated treatment of continuous-time and discrete-time forms of signals and systems intended to reflect their roles in engineering practice.Table of ContentsChapter 1. Introduction. Chapter 2. Time-Domain Representations of Linear Time-Invariant Systems. Chapter 3. Fourier Representations of Signals and Linear Time Invariant Systems. Chapter 4. Applications of Fourier Representations to Mixed Signal Classes. Chapter 5. Application to Communication Systems. Chapter 6. Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform. Chapter 7. Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform. Chapter 8. Application to Filters and Equalizers. Chapter 9. Application to Linear Feedback Systems. Chapter 10. Epilogue. Appendix A: Selected Mathematical Identities. Appendix B: Partial-Fraction Expansions. Appendix C: Tables of Fourier Representations and Properties. Appendix D: Tables of Laplace Transforms and Properties. Appendix E: Tables of z-Transforms and Properties.Appendix F: Introduction to MATLAB.Index.
£122.50
John Wiley and Sons Ltd Electromagnetic Bandgap EBG Structures
Book SynopsisAn essential guide to the background, design, and application of common-mode filtering structures in modern high-speed differential communication links Written by a team of experts in the field, Electromagnetic Bandgap (EBG) Structures explores the practical electromagnetic bandgap based common mode filters for power integrity applications and covers the theoretical and practical design approaches for common mode filtering in high-speed printed circuit boards, especially for boards in high data-rate systems. The authors describe the classic applications of electromagnetic bandgap (EBG) structures and the phenomena of common mode generation in high speed digital boards. The text also explores the fundamental electromagnetic mechanisms of the functioning of planar EBGs and considers the impact of planar EBGs on the digital signal propagation of single ended and differential interconnects routed on top or between EBGs. The authors examine the concept, design, and modeling of EBG common moTable of ContentsAbout the Authors vii Preface xi Acknowledgments xiii 1 Introduction 1 2 Planar EBGs: Fundamentals and Design 21 3 Impact of Planar EBGs on Signal Integrity in High-Speed Digital Boards 61 4 Planar Onboard EBG Filters for Common Mode Current Reduction 77 5 Special Topics for EBG Filters 159 6 Removable EBG Common Mode Filters 165 7 EBG Common Mode Filters: Modeling and Measurements 199 Index 219
£94.50
McGraw-Hill Education Loose Leaf for Signals and Systems
Book Synopsis
£174.60
