Information theory Books
Springer Fachmedien Wiesbaden Mobile Computing: Grundlagen – Prozesse und
Book SynopsisDas Herausgeberwerk zeigt, welche Auswirkungen der Einsatz von mobilen Endgeräten auf betriebliche Abläufe hat und wie Anwendungsszenarien in verschiedenen Branchen aussehen können. Hierzu werden u. a. Beispiele aus dem Personalmanagement und dem Gesundheitswesen vorgestellt. Experten aus Wissenschaft und Praxis diskutieren Fragen rund um das Mobile Enterprise ebenso, wie die Gestaltung mobiler Prozesse im ERP und mobiles e-Learning.Dieser Band bietet damit all jenen Lesern und Wissenschaftlern neue Einsichten, die sich für das Thema mobile Anwendungen umfassend interessieren.Table of ContentsMobile Enterprise – Sichere mobile Unternehmensanwendungen – Sicherer Einsatz mobiler Endgeräte im Unternehmen – Mobile Prozesse im ERP – Mobile Device Management – Mobile Anwendungen im Personalmanagement – Mobile Anwendungen im Gesundheitswesen – Mobile Contracting – Mobile e-Learning
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Das Zeitalter der Daten: Was Sie über Grundlagen,
Book SynopsisDaten werden überall gesammelt. Jeder Kauf, ob online oder offline, jede Autofahrt und jede Benutzung des Smartphones erzeugt Daten, die gespeichert werden. So entstehen Datenberge, die in atemberaubendem Tempo wachsen – für 2020 geht man von 40 Billionen Gigabytes aus. Aber was passiert dann mit diesen Daten? Wie werden sie ausgewertet? Und wer macht das? Holger Aust nimmt Sie mit auf einen unterhaltsamen Ausflug in die wunderbare Welt der Data Science. Sein Buch richtet sich an alle, die schon immer wissen wollten, wie Maschinen anhand von Daten lernen und ob sie dadurch (künstliche) Intelligenz erlangen. Sie erfahren natürlich auch, was neuronale Netze und Deep Learning eigentlich mit all dem zu tun haben. In leicht verständlichem Stil erhalten Sie außerdem Einblicke in die Funktionsweise der wichtigsten Algorithmen und lernen konkrete Beispiele, Herausforderungen und Risiken aus der Praxis kennen: Sie erfahren etwa, wie Mobilfunkanbieter ihre Kunden bei Laune halten, wie Erdbebenvorhersage funktioniert und warum auch Computer zum Schubladendenken neigen.Trade Review“… Aust erklärt mathematische Grundlagen und Formeln ebenso wie die Aufgaben eines Data Scientists. Vom Einzelkämpfer und Alleskönner bis zum Spezialisten in einem Team aus 500 Leuten sind alle möglichen Arbeitsmöglichkeiten drin. … Wer in die Materie einsteigen will, bekommt Grafiken und Tabellen zur Veranschaulichung mit an die Hand. Dass es nötig ist, sich mit dem Thema auseinanderzusetzen, wird die rund 250 Seiten hinweg immer wieder deutlich …” (Marco Krefting, in: dpa-Dossier Wissen, Heft 42, 22. Oktober 2021)Table of ContentsData Science: Die Kunst mit Daten umzugehen.- KI: Hype oder Technologie der Zukunft?- Wie lernt eine Maschine?- Stolz und Vorurteile - Risiken von Data Science.- Typische Aufgaben eines Data Scientists.- Das Gehirn kopieren? - Künstliche neuronale Netze.- Data Science in der Praxis.- Abschluss.
£17.09
Springer Fachmedien Wiesbaden Codierung und Kryptologie: Facetten einer
Book SynopsisThomas Borys untersucht aus didaktischer Sicht, welchen Beitrag die Inhalte Codierung und Kryptologie zur mathematischen bzw. informatischen Bildung leisten. Seine epistemologische Analyse erfolgt auf Basis des genetischen Prinzips und der fundamentalen Ideen der Mathematik und der Informatik, die als Leitlinien der mathematischen bzw. informatischen Bildung dienen. An ausgewählten Beispielen der Codierung und Kryptologie wird gezeigt, was bei der Umsetzung im Unterricht zu beachten ist.Table of ContentsAnforderungen an die Bildung für die Kommunikations- und Wissensgesellschaft - Bildungsrelevanz codierungstheoretischer und kryptologischer Inhalte unter besonderer Berücksichtigung der Allgemeinbildung und des genetischen Prinzips - Bildungsrelevanz codierungstheoretischer und kryptologischer Inhalte unter besonderer Berücksichtigung weiterer fundamentaler Ideen - Konkrete codierungstheoretische und kryptologische Verfahren aus fachdidaktischer Perspektive - Resümee und fachdidaktische Konsequenzen
£52.24
Springer Verlag, Singapore Advances in Computing and Data Sciences: 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers
Book SynopsisThis book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.*The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.* The conference was held virtually due to the COVID-19 pandemic.Table of ContentsAdvanced computing.- data sciences.
£42.74
Springer Verlag, Singapore Graph Neural Networks: Foundations, Frontiers, and Applications
Book SynopsisDeep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning.This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.Table of ContentsChapter 1. Representation Learning.- Chapter 2. Graph Representation Learning.- Chapter 3. Graph Neural Networks.- Chapter 4. Graph Neural Networks for Node Classification.- Chapter 5. The Expressive Power of Graph Neural Networks.- Chapter 6. Graph Neural Networks: Scalability.- Chapter 7. Interpretability in Graph Neural Networks.- Chapter 8. "Graph Neural Networks: Adversarial Robustness".- Chapter 9. Graph Neural Networks: Graph Classification.- Chapter 10. Graph Neural Networks: Link Prediction.- Chapter 11. Graph Neural Networks: Graph Generation.- Chapter 12. Graph Neural Networks: Graph Transformation.- Chapter 13. Graph Neural Networks: Graph Matching.- Chapter 14. "Graph Neural Networks: Graph Structure Learning". Chapter 15. Dynamic Graph Neural Networks.- Chapter 16. Heterogeneous Graph Neural Networks.- Chapter 17. Graph Neural Network: AutoML.- Chapter 18. Graph Neural Networks: Self-supervised Learning.- Chapter 19. Graph Neural Network in Modern Recommender Systems.- Chapter 20. Graph Neural Network in Computer Vision.- Chapter 21. Graph Neural Networks in Natural Language Processing.- Chapter 22. Graph Neural Networks in Program Analysis.- Chapter 23. Graph Neural Networks in Software Mining.- Chapter 24. "GNN-based Biomedical Knowledge Graph Mining in Drug Development".- Chapter 25. "Graph Neural Networks in Predicting Protein Function and Interactions".- Chapter 26. Graph Neural Networks in Anomaly Detection.- Chapter 27. Graph Neural Networks in Urban Intelligence.
£85.49
Springer Verlag, Singapore Trends of Data Science and Applications: Theory and Practices
Book SynopsisThis book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.Table of ContentsNLP for Sentiment Computation.- Productizing an Artificial Intelligence solution for Intelligent Detail Extraction- Synergy of Symbolic and Sub-symbolic Artificial Intelligence techniques.- Digital Consumption Pattern and Impacts of Social Media: Descriptive Statistical Analysis.- Applicational Statistics in Data Science & Machine Learning.- Evolutionary algorithms based machine learning models.- Application to Predict the Impact of COVID-19 in India using Deep Learning.- Role of Data Analytics in Bio Cyber Physical Systems.- Evolution of Sentiment Analysis : Methodologies and Paradigms.- Healthcare Analytics: An advent to mitigate the risks and impacts of a Pandemic.- Image Classification for Binary Classes using Deep Convolutional Neural Network: An Experimental Study.
£104.49
Springer Information and Communications Security
Book Synopsis.- Blockchain and Cryptocurrencies..- EquinoxBFT: BFT Consensus for Blockchain Emergency Governance..- fFuzz: A State-aware Function-level Fuzzing Framework for Smart Contract Vulnerabilities Detection..- TraceBFT: Backtracking-based Pipelined Asynchronous BFT Consensus for High-Throughput Distributed Systems..- RADIAL: Robust Adversarial Discrepancy-aware Framework for Early Detection of Illicit Cryptocurrency Accounts..- Enhancing Private Signing Key Protection in Digital Currency Transactions Using Obfuscation..- AnsBridge: Towards Secure Cross-Chain Interoperability via Anonymous and Verifiable Validators..- TrustBlink: A zkSNARK-Powered On-Demand Relay for PoW Cross-Chain Verification With Low Cost..- R1-MFSol: a Smart Contract Vulnerability Detection Model Based on LLM and Multi-modal Feature Fusion..- No Place to Hide: An Efficient and Accurate Backdoor Detection Tool for Ethereum ERC-20 Smart Contracts..- System and Network Security..- Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks..- Social-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game..- A Distributed Privacy Protection Method for Crowd Sensing Based on Trust Evaluation..- DBG-LB: A Trustworthy and Efficient Framework for Data Sharing in the Internet of Vehicles..- Actions Speak Louder Than Words: Evidence-Based Trust Level Evaluation in Multi-Agent Systems..- Bridging the Interoperability Gaps Among Trusted Architectures in MCUs..- Security and Privacy of AI..- A Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking..- AFedGAN: Adaptive Federated Learning with Generative Adversarial Networks for Non-IID Data..- OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentatio..- EAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection..- BR-CPPFL: A Blockchain-based Robust Clustered Privacy-preserving Federated Learning System..- Efficient Semi-asynchronous Federated Learning with Guided Selective Participation and Adaptive Aggregation..- Improving Byzantine-resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction..- Hierarchical Recovery of Convolutional Neural Networks via Self-Embedding Watermarking..- Personalized Federated Learning Algorithm Based on User Grouping and Group Signatures..- Machine Learning for Security..- SPCD: A Shot-Based Partial Copy Detection Method..- Bayesian-Adaptive Graph Neural Network for Anomaly Detection (BAGNN)..- UzPhishNet Model for Phishing Detection..- CyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model..- Provenance-Based Intrusion Detection via Multi-Scale Graph Representation Learning..- SADGA: A Self Attention GAN-Based Adversarial DGA with High Anti-Detection Ability.
£44.99
Springer Verlag, Singapore Algorithmic Aspects in Information and Management
£116.99
Springer Nature Switzerland AG New Frontiers in Artificial Intelligence
£104.49
Springer Verlag, Singapore Information and Communications Security: 25th
Book SynopsisThis volume LNCS 14252 constitutes the refereed proceedings of 25th International Conference on Information and Communications Security, ICICS 2023, held in Tianjin, China, during November 18–20, 2023. The 38 full papers presented together with 6 short papers were carefully reviewed and selected from 181 submissions. The conference focuses on: Symmetric-Key Cryptography; Public-Key Cryptography; Applied Cryptography; Authentication and Authorization; Privacy and Anonymity; Security and Privacy of AI; Blockchain and Cryptocurrencies; and System and Network Security. Table of ContentsSymmetric-Key Cryptography.- SAT-aided Differential Cryptanalysis of Lightweight Block Ciphers Midori, MANTIS and QARMA.- Improved Related-Key Rectangle Attack against the Full AES-192.- Block Ciphers Classification Based on Randomness Test Statistic Value via LightGBM.- Cryptanalysis of Two White-Box Implementations of the CLEFIA Block Cipher.- PAE: Towards More Efficient and BBB-secure AE From a Single Public Permutation.- Public-Key Cryptography.- A Polynomial-time Attack on G2SIDH.- Improvements of Homomorphic Secure Evaluation of Inverse Square Root.- Oblivious Transfer from Rerandomizable PKE.- Forward Secure Lattice-based Ring Signature Scheme in the Standard Model.- Applied Cryptography.- Secure Multi-Party Computation with Legally-Enforceable Fairness.- On-demand Allocation of Cryptographic Computing Resource with Load Prediction.- Private Message Franking with After Opening Privacy.- Semi-Honest 2-Party Faithful Truncation from Two-Bit Extraction.- Outsourcing Verifiable Distributed Oblivious Polynomial Evaluation from Threshold Cryptography.- Authentication and Authorization.- PiXi: Password Inspiration by Exploring Information.- Security Analysis of Alignment-Robust Cancelable Biometric Scheme for Iris Verification.- A Certificateless Conditional Anonymous Authentication Scheme for Satellite Internet of Things.- BLAC: A Blockchain-based Lightweight Access Control Scheme in Vehicular Social Networks.- Privacy and Anonymity.- Link Prediction-Based Multi-Identity Recognition of Darknet Vendors.- CryptoMask: Privacy-preserving Face Recognition.- Efficient Private Multiset ID Protocols.- Zoomer: A Website Fingerprinting Attack against Tor Hidden Services.- An Enhanced Privacy-preserving Hierarchical Federated Learning Framework for IoV.- Security and Privacy of AI.- Revisiting the Deep Learning-based Eavesdropping Attacks via Facial Dynamics from VR Motion Sensors.- Multi-scale Features Destructive Universal Adversarial Perturbations.- Pixel-Wise Reconstruction of Private Data in Split Federated Learning.- Neural Network Backdoor Attacks Fully Controlled by Composite Natural Utterance Fragments.- Black-Box Fairness Testing with Shadow Models.- Graph Unlearning using Knowledge Distillation.- AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings.- Learning to Detect Deepfakes via Adaptive Attention and Constrained Difference.- A Novel Deep Ensemble Framework for Online Signature Verification Using Temporal and Spatial Representation.- Blockchain and Cryptocurrencies.- SCOPE: A Cross-Chain Supervision Scheme for Consortium Blockchains.- Subsidy Bridge: Rewarding Cross-blockchain Relayers with Subsidy.- Towards Efficient and Privacy-Preserving Anomaly Detection of Blockchain-based Cryptocurrency Transactions.- Blockchain based Publicly Auditable Multi-Party Computation with Cheater Detection.- BDTS: Blockchain-based Data Trading System.- Illegal Accounts Detection on Ethereum using Heterogeneous Graph Transformer Networks.- System and Network security.- DRoT: A Decentralised Root of Trust for Trusted Networks.- Finding Missing Security Operation Bugs via Program Slicing and Differential Check.- TimeClave: Oblivious In-enclave Time series Processing System.- Efficient and Appropriate Key Generation Scheme in Different IoT Scenarios.- A Fake News Detection Method Based on A Multimodal Cooperative Attention Network.
£80.74
Taylor & Francis Ltd Management Science Operations Research and Project Management
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£39.99
Taylor & Francis BecomingSocial in a Networked Age
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£38.99
Taylor & Francis Ltd Social Scientists Meet the Media
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£128.25
Taylor & Francis Ltd The Virtual Embodied
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£38.99
Taylor & Francis Ltd Museum Media Message
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£51.29
Taylor & Francis Information Services Design
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£137.75
Taylor & Francis Ltd Systems Practice in the Information Society
Book SynopsisAs a collection of ideas and methodologies, systems thinking has made an impact in organizations and in particular in the information systems field. However, this main emphasis on organizations limits the scope of systems thinking and practice. There is a need first to use systems thinking in addressing societal problems, and second to enable people involved in developing the information society to reflect on the impacts of systems and technologies in society as a whole. Thus, there are opportunities to review the scope and potential of systems thinking and practice to deal with information society-related issues. Systems Practice in the Information Society provides students of information systems as well as practicing Inofrmation Systems managers with concepts and strategies to enable them to understand and use systems thinking methodologies and address challenges posed by the development of information-based societies. This book brings experiences, ideaTable of Contents1. Introduction 2. The Information Society 3. Systems-Thinking 4. Applied Systems-Thinking 5. Idealist Pattern for Practice in the Information Society 6. Strategic Pattern of Pracitice for the Information Society 7. Power-based Pattern for Practice in the Information Society 8. A Dynamic Practice Framework for Living and Working in the Information Society 9. Conclusions
£171.00
Taylor & Francis Systems Practice in the Information Society
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£43.69
Taylor & Francis Traditions of Systems Theory
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£36.99
Taylor & Francis Ltd Algebraic Curves in Cryptography
Book SynopsisThe reach of algebraic curves in cryptography goes far beyond elliptic curve or public key cryptography yet these other application areas have not been systematically covered in the literature. Addressing this gap, Algebraic Curves in Cryptography explores the rich uses of algebraic curves in a range of cryptographic applications, such as secret sharing, frameproof codes, and broadcast encryption. Suitable for researchers and graduate students in mathematics and computer science, this self-contained book is one of the first to focus on many topics in cryptography involving algebraic curves. After supplying the necessary background on algebraic curves, the authors discuss error-correcting codes, including algebraic geometry codes, and provide an introduction to elliptic curves. Each chapter in the remainder of the book deals with a selected topic in cryptography (other than elliptic curve cryptography). The topics covered include secret sharing schemes,Trade Review"This is a self-contained book intended for researchers and graduate students in mathematics and computer science interested in different topics in cryptography involving algebraic curves ... The authors of this book make an exhaustive review on some other topics where algebraic curves, mainly in higher genus, are important as well."—Zentralblatt MATH 1282"The book is written in a user-friendly style, with good coverage of the background, many examples, and a detailed bibliography of over 180 items. It is mainly directed towards graduate students and researchers, but some parts of the book are even accessible for advanced undergraduate students. The book is highly recommended for readers interested in the manifold applications of algebraic curves over finite fields."—Harald Niederreiter, Mathematical Reviews, March 2014"The book is filled with examples to illustrate the various constructions and, assuming a basic knowledge of combinatorics and algebraic geometry, it is almost self-contained."—Felipe Zaldivar, MAA Reviews, September 2013Table of ContentsIntroduction to Algebraic Curves. Introduction to Error-Correcting Codes. Elliptic Curves and Their Applications to Cryptography. Secret Sharing Schemes. Authentication Codes. Frameproof Codes. Key Distribution Schemes. Broadcast Encryption and Multicast Security. Sequences. Bibliography. Index.
£99.75
Cambridge University Press The Theory of Information and Coding 86 Encyclopedia of Mathematics and its Applications Series Number 86
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£136.80
Cambridge University Press Fundamentals of ErrorCorrecting Codes
Book SynopsisFundamentals of Error Correcting Codes is an in-depth introduction to coding theory from both an engineering and mathematical viewpoint. As well as covering classical topics, there is much coverage of techniques which could only be found in specialist journals and book publications. Numerous exercises and examples and an accessible writing style make this a lucid and effective introduction to coding theory for advanced undergraduate and graduate students, researchers and engineers, whether approaching the subject from a mathematical, engineering or computer science background.Trade ReviewReview of the hardback: 'Numerous exercises and examples and an accessible writing style make this a lucid and effective introduction to coding theory for advanced undergraduate and graduate students, researchers and engineers - whether approaching the subject from a mathematical, engineering or computer science background.' IASI Polytechnic MagazineTable of ContentsPreface; 1. Basic concepts of linear codes; 2. Bounds on size of codes; 3. Finite fields; 4. Cyclic codes; 5. BCH and Reed-Soloman codes; 6. Duadic codes; 7. Weight distributions; 8. Designs; 9. Self-dual codes; 10. Some favourite self-dual codes; 11. Covering radius and cosets; 12. Codes over Z4; 13. Codes from algebraic geometry; 14. Convolutional codes; 15. Soft decision and iterative decoding; Bibliography; Index.
£59.84
Cambridge University Press Information Theory Evolution and the Origin of Life
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£42.74
Cambridge University Press Information Theory
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£162.45
Cambridge University Press Symmetry and its Discontents
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£71.25
Cambridge University Press Foundations of MIMO Communication
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£83.59
Cambridge University Press Lattice Coding for Signals and Networks
Book SynopsisUnifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on ''algebraic binning'' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-codingTable of Contents1. Introduction; 2. Lattices; 3. Figures of merit; 4. Dithering and estimation; 5. Entropy-coded quantization; 6. Infinite constellation for modulation; 7. Asymptotic goodness; 8. Nested lattices; 9. Lattice shaping; 10. Side-information problems; 11. Modulo-lattice modulation with Yuval Kochman; 12. Gaussian networks with Bobak Nazer; 13. Error exponents.
£126.00
Cambridge University Press Information Theory Evolution and the Origin of Life
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£104.50
Cambridge University Press The Theory of Information and Coding Student Edition 86 Encyclopedia of Mathematics and its Applications Series Number 86
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£75.04
Cambridge University Press Compound Renewal Processes
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£104.50
Cambridge University Press Descriptive vs. Inferential Community Detection in Networks
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£17.00
Cambridge University Press Random Graphs and Networks
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£71.25
Cambridge University Press Compact Matrix Quantum Groups and Their Combinatorics
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£37.99
Cambridge University Press Compact Matrix Quantum Groups and Their Combinatorics
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£94.99
Cambridge University Press Reliabilism and its Rivals
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£52.25
Cambridge University Press A Students Guide to Coding and Information Theory
Book SynopsisA concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practical examples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject.Trade Review'The book is nicely written, and is recommended as a textbook for a one-semester introductory course on coding and information theory.' Pushpa N. Rathie, Zentralblatt MATHTable of Contents1. Introduction Chung-Hsuan Wang; 2. Error-detecting codes Chung-Hsuan Wang; 3. Repetition and hamming codes Francis Lu; 4. Data compression: efficient coding of a random message; 5. Entropy and Shannon's source coding theorem; 6. Mutual information and channel capacity Jwo-Yuh Wu; 7. Achieving the Shannon limit by turbo coding; 8. Other aspects of coding theory Francis Lu.
£64.60
Cambridge University Press Probability The Classical Limit Theorems
Book SynopsisProbability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss' bell-shaped curve, the law of averages, and so on, concepts that crop up in so many settings they are in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium and nonequilibrium statistical mechanics, communication over a noisy channel, and random matrices. Numerous examples and exercises enrich the text.Trade Review'… packs a great deal of material into a moderate-sized book, starting with a synopsis of measure theory and ending with a taste of current research into random matrices and number theory. The book ranges more widely than the title might suggest … There are numerous exercises sprinkled throughout the book. Most of these are exhortations to fill in details left out of the main discussion or illustrative examples. The exercises are a natural part of the book, unlike the exercises in so many books that were apparently grafted on after-the-fact at a publisher's insistence. McKean has worked in probability and related areas since obtaining his PhD under William Feller in 1955. His book contains invaluable insights from a long career.' John D. Cook, MAA Reviews'The scope is wide, not restricted to 'elementary facts' only. There is an abundance of pretty details … This book is highly recommendable …' Jorma K. Merikoski, International Statistical ReviewTable of ContentsPreface; 1. Preliminaries; 2. Bernoulli trials; 3. The standard random walk; 4. The standard random walk in higher dimensions; 5. LLN, CLT, iterated log, and arcsine in general; 6. Brownian motion; 7. Markov chains; 8. The ergodic theorem; 9. Communication over a noisy channel; 10. Equilibrium statistical mechanics; 11. Statistical mechanics out of equilibrium; 12. Random matrices; Bibliography; Index.
£133.95
Cambridge University Press Probability The Classical Limit Theorems
Book SynopsisProbability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss' bell-shaped curve, the law of averages, and so on, concepts that crop up in so many settings they are in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium and nonequilibrium statistical mechanics, communication over a noisy channel, and random matrices. Numerous examples and exercises enrich the text.Trade Review'… packs a great deal of material into a moderate-sized book, starting with a synopsis of measure theory and ending with a taste of current research into random matrices and number theory. The book ranges more widely than the title might suggest … There are numerous exercises sprinkled throughout the book. Most of these are exhortations to fill in details left out of the main discussion or illustrative examples. The exercises are a natural part of the book, unlike the exercises in so many books that were apparently grafted on after-the-fact at a publisher's insistence. McKean has worked in probability and related areas since obtaining his PhD under William Feller in 1955. His book contains invaluable insights from a long career.' John D. Cook, MAA Reviews'The scope is wide, not restricted to 'elementary facts' only. There is an abundance of pretty details … This book is highly recommendable …' Jorma K. Merikoski, International Statistical ReviewTable of ContentsPreface; 1. Preliminaries; 2. Bernoulli trials; 3. The standard random walk; 4. The standard random walk in higher dimensions; 5. LLN, CLT, iterated log, and arcsine in general; 6. Brownian motion; 7. Markov chains; 8. The ergodic theorem; 9. Communication over a noisy channel; 10. Equilibrium statistical mechanics; 11. Statistical mechanics out of equilibrium; 12. Random matrices; Bibliography; Index.
£46.61
Cambridge University Press HighDimensional Data Analysis with LowDimensional Models
A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students in computer science, data science, and electrical engineering. With foreword by Emmanuel Candès.
£59.84
University of Chicago Press Planning as Persuasive Storytelling The
Book SynopsisThis study looks at the world of political conflict surrounding the Commonwealth Edison Company's nuclear power plant construction programme in northern Illinois during the 1980s. It examines the theory that planning can best be thought of as a form of persuasive storytelling.Table of ContentsList of Illustrations List of Tables Preface Acknowledgments Prelude: A Strange Place, an Alien Language 1: The Irony of Modernist Planning 2: The Argumentative or Rhetorical Turn in Planning 3: The Modernist Institution and Rhetoric of Regulated Natural Monopoly 4: Commonwealth Edison's Ambitious Nuclear Power Expansion Plan, 1973- 1986 5: The Best Deal for Illinois Consumers? Assessing Commonwealth Edison's "Negotiated Settlement" 6: Edison Completes Its Nuclear Power Expansion Plan, But Who Will Pay for the Last of It? 7: Precinct Captains at the Nuclear Switch? Exploring Chicago's Electric Power Options 8: Survey Research as a Trope in Electric Power Planning Arguments 9: Precinct Captains at the Nuclear Switch? The Mayor's Hand Turns up Empty 10: Frozen in a Passionate Embrace: Allocating Pain, Allocating Blame 11: The Plateau in the Web: Planning as Persuasive Storytelling within a Web of Relationships Postlude: E-mail to a Friend Notes References Illustration Credits Index
£98.80
John Wiley & Sons Inc Distributed Source Coding
Book SynopsisDistributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs. Rich applications of distributed source coding, which covers multimedia communication and data security aTable of ContentsPreface xiii Acknowledgment xv About the Companion Website xvii 1 Introduction 1 1.1 What is Distributed Source Coding? 2 1.2 Historical Overview and Background 2 1.3 Potential and Applications 3 1.4 Outline 4 Part I Theory of Distributed Source Coding 7 2 Lossless Compression of Correlated Sources 9 2.1 Slepian–Wolf Coding 10 2.1.1 Proof of the SWTheorem 15 Achievability of the SWTheorem 16 Converse of the SWTheorem 19 2.2 Asymmetric and Symmetric SWCoding 21 2.3 SWCoding of Multiple Sources 22 3 Wyner–Ziv Coding Theory 25 3.1 Forward Proof ofWZ Coding 27 3.2 Converse Proof of WZ Coding 29 3.3 Examples 30 3.3.1 Doubly Symmetric Binary Source 30 Problem Setup 30 A Proposed Scheme 31 Verify the Optimality of the Proposed Scheme 32 3.3.2 Quadratic Gaussian Source 35 Problem Setup 35 Proposed Scheme 36 Verify the Optimality of the Proposed Scheme 37 3.4 Rate Loss of theWZ Problem 38 Binary Source Case 39 Rate loss of General Cases 39 4 Lossy Distributed Source Coding 41 4.1 Berger–Tung Inner Bound 42 4.1.1 Berger–Tung Scheme 42 Codebook Preparation 42 Encoding 42 Decoding 43 4.1.2 Distortion Analysis 43 4.2 Indirect Multiterminal Source Coding 45 4.2.1 Quadratic Gaussian CEO Problem with Two Encoders 45 Forward Proof of Quadratic Gaussian CEO Problem with Two Terminals 46 Converse Proof of Quadratic Gaussian CEO Problem with Two Terminals 48 4.3 Direct Multiterminal Source Coding 54 4.3.1 Forward Proof of Gaussian Multiterminal Source Coding Problem with Two Sources 55 4.3.2 Converse Proof of Gaussian Multiterminal Source Coding Problem with Two Sources 63 Bounds for R1 and R2 64 Collaborative Lower Bound 66 𝜇-sum Bound 67 Part II Implementation 75 5 Slepian–Wolf Code Designs Based on Channel Coding 77 5.1 Asymmetric SWCoding 77 5.1.1 Binning Idea 78 5.1.2 Syndrome-based Approach 79 Hamming Binning 80 SWEncoding 80 SWDecoding 80 LDPC-based SWCoding 81 5.1.3 Parity-based Approach 82 5.1.4 Syndrome-based Versus Parity-based Approach 84 5.2 Non-asymmetric SWCoding 85 5.2.1 Generalized Syndrome-based Approach 86 5.2.2 Implementation using IRA Codes 88 5.3 Adaptive Slepian–Wolf Coding 90 5.3.1 Particle-based Belief Propagation for SWCoding 91 5.4 Latest Developments and Trends 93 6 Distributed Arithmetic Coding 97 6.1 Arithmetic Coding 97 6.2 Distributed Arithmetic Coding 101 6.3 Definition of the DAC Spectrum 103 6.3.1 Motivations 103 6.3.2 Initial DAC Spectrum 104 6.3.3 Depth-i DAC Spectrum 105 6.3.4 Some Simple Properties of the DAC Spectrum 107 6.4 Formulation of the Initial DAC Spectrum 107 6.5 Explicit Form of the Initial DAC Spectrum 110 6.6 Evolution of the DAC Spectrum 113 6.7 Numerical Calculation of the DAC Spectrum 116 6.7.1 Numerical Calculation of the Initial DAC Spectrum 117 6.7.2 Numerical Estimation of DAC Spectrum Evolution 118 6.8 Analyses on DAC Codes with Spectrum 120 6.8.1 Definition of DAC Codes 121 6.8.2 Codebook Cardinality 122 6.8.3 Codebook Index Distribution 123 6.8.4 Rate Loss 123 6.8.5 Decoder Complexity 124 6.8.6 Decoding Error Probability 126 6.9 Improved Binary DAC Codec 130 6.9.1 Permutated BDAC Codec 130 Principle 130 Proof of SWLimit Achievability 131 6.9.2 BDAC Decoder withWeighted Branching 132 6.10 Implementation of the Improved BDAC Codec 134 6.10.1 Encoder 134 Principle 134 Implementation 135 6.10.2 Decoder 135 Principle 135 Implementation 136 6.11 Experimental Results 138 Effect of Segment Size on Permutation Technique 139 Effect of Surviving-Path Number onWB Technique 139 Comparison with LDPC Codes 139 Application of PBDAC to Nonuniform Sources 140 6.12 Conclusion 141 7 Wyner–Ziv Code Design 143 7.1 Vector Quantization 143 7.2 Lattice Theory 146 7.2.1 What is a Lattice? 146 Examples 146 Dual Lattice 147 Integral Lattice 147 Lattice Quantization 148 7.2.2 What is a Good Lattice? 149 Packing Efficiency 149 Covering Efficiency 150 Normalized Second Moment 150 Kissing Number 150 Some Good Lattices 151 7.3 Nested Lattice Quantization 151 Encoding/decoding 152 Coset Binning 152 Quantization Loss and Binning Loss 153 SW Coded NLQ 154 7.3.1 Trellis Coded Quantization 154 7.3.2 Principle of TCQ 155 Generation of Codebooks 156 Generation of Trellis from Convolutional Codes 156 Mapping of Trellis Branches onto Sub-codebooks 157 Quantization 157 Example 158 7.4 WZ Coding Based on TCQ and LDPC Codes 159 7.4.1 Statistics of TCQ Indices 159 7.4.2 LLR of Trellis Bits 162 7.4.3 LLR of Codeword Bits 163 7.4.4 Minimum MSE Estimation 163 7.4.5 Rate Allocation of Bit-planes 164 7.4.6 Experimental Results 166 Part III Applications 167 8 Wyner–Ziv Video Coding 169 8.1 Basic Principle 169 8.2 Benefits of WZ Video Coding 170 8.3 Key Components of WZ Video Decoding 171 8.3.1 Side-information Preparation 171 Bidirectional Motion Compensation 172 8.3.2 Correlation Modeling 173 Exploiting Spatial Redundancy 174 8.3.3 Rate Controller 175 8.4 Other Notable Features of Miscellaneous WZ Video Coders 175 9 Correlation Estimation in DVC 177 9.1 Background to Correlation Parameter Estimation in DVC 177 9.1.1 Correlation Model inWZ Video Coding 177 9.1.2 Offline Correlation Estimation 178 Pixel Domain Offline Correlation Estimation 178 Transform Domain Offline Correlation Estimation 180 9.1.3 Online Correlation Estimation 181 Pixel Domain Online Correlation Estimation 182 Transform Domain Online Correlation Estimation 184 9.2 Recap of Belief Propagation and Particle Filter Algorithms 185 9.2.1 Belief Propagation Algorithm 185 9.2.2 Particle Filtering 186 9.3 Correlation Estimation in DVC with Particle Filtering 187 9.3.1 Factor Graph Construction 187 9.3.2 Correlation Estimation in DVC with Particle Filtering 190 9.3.3 Experimental Results 192 9.3.4 Conclusion 197 9.4 Low Complexity Correlation Estimation using Expectation Propagation 199 9.4.1 System Architecture 199 9.4.2 Factor Graph Construction 199 Joint Bit-plane SWCoding (Region II) 200 Correlation Parameter Tracking (Region I) 201 9.4.3 Message Passing on the Constructed Factor Graph 202 Expectation Propagation 203 9.4.4 Posterior Approximation of the Correlation Parameter using Expectation Propagation 204 Moment Matching 205 9.4.5 Experimental Results 206 9.4.6 Conclusion 211 10 DSC for Solar Image Compression 213 10.1 Background 213 10.2 RelatedWork 215 10.3 Distributed Multi-view Image Coding 217 10.4 Adaptive Joint Bit-plane WZ Decoding of Multi-view Images with Disparity Estimation 217 10.4.1 Joint Bit-planeWZ Decoding 217 10.4.2 Joint Bit-planeWZ Decoding with Disparity Estimation 219 10.4.3 Joint Bit-planeWZ Decoding with Correlation Estimation 220 10.5 Results and Discussion 221 10.6 Summary 224 11 Secure Distributed Image Coding 225 11.1 Background 225 11.2 System Architecture 227 11.2.1 Compression of Encrypted Data 228 11.2.2 Joint Decompression and Decryption Design 230 11.3 Practical Implementation Issues 233 11.4 Experimental Results 233 11.4.1 Experiment Setup 234 11.4.2 Security and Privacy Protection 235 11.4.3 Compression Performance 236 11.5 Discussion 239 12 Secure Biometric Authentication Using DSC 241 12.1 Background 241 12.2 RelatedWork 243 12.3 System Architecture 245 12.3.1 Feature Extraction 246 12.3.2 Feature Pre-encryption 248 12.3.3 SeDSC Encrypter/decrypter 248 12.3.4 Privacy-preserving Authentication 249 12.4 SeDSC Encrypter Design 249 12.4.1 Non-asymmetric SWCodes with Code Partitioning 250 12.4.2 Implementation of SeDSC Encrypter using IRA Codes 251 12.5 SeDSC Decrypter Design 252 12.6 Experiments 256 12.6.1 Dataset and Experimental Setup 256 12.6.2 Feature Length Selection 257 12.6.3 Authentication Accuracy 257 Authentication Performances on Small Feature Length (i.e., N = 100) 257 Performances on Large Feature Lengths (i.e., N ≥ 300) 258 12.6.4 Privacy and Security 259 12.6.5 Complexity Analysis 261 12.7 Discussion 261 A Basic Information Theory 263 A.1 Information Measures 263 A.1.1 Entropy 263 A.1.2 Relative Entropy 267 A.1.3 Mutual Information 268 A.1.4 Entropy Rate 269 A.2 Independence and Mutual Information 270 A.3 Venn Diagram Interpretation 273 A.4 Convexity and Jensen’s Inequality 274 A.5 Differential Entropy 277 A.5.1 Gaussian Random Variables 278 A.5.2 Entropy Power Inequality 278 A.6 Typicality 279 A.6.1 Jointly Typical Sequences 282 A.7 Packing Lemmas and Covering Lemmas 284 A.8 Shannon’s Source CodingTheorem 286 A.9 Lossy Source Coding—Rate-distortionTheorem 289 A.9.1 Rate-distortion Problem with Side Information 291 B Background on Channel Coding 293 B.1 Linear Block Codes 294 B.1.1 Syndrome Decoding of Block Codes 295 B.1.2 Hamming Codes, Packing Bound, and Perfect Codes 295 B.2 Convolutional Codes 297 B.2.1 Viterbi Decoding Algorithm 298 B.3 Shannon’s Channel CodingTheorem 301 B.3.1 Achievability Proof of the Channel CodingTheorem 303 B.3.2 Converse Proof of Channel CodingTheorem 305 B.4 Low-density Parity-check Codes 306 B.4.1 A Quick Summary of LDPC Codes 306 B.4.2 Belief Propagation Algorithm 307 B.4.3 LDPC Decoding using BP 312 B.4.4 IRA Codes 314 C Approximate Inference 319 C.1 Stochastic Approximation 319 C.1.1 Importance SamplingMethods 320 C.1.2 Markov Chain Monte Carlo 321 Markov Chains 321 Markov Chain Monte Carlo 321 C.2 Deterministic Approximation 322 C.2.1 Preliminaries 322 Exponential Family 322 Kullback–Leibler Divergence 323 Assumed-density Filtering 324 C.2.2 Expectation Propagation 325 Relationship with BP 326 C.2.3 Relationship with Other Variational Inference Methods 328 D Multivariate Gaussian Distribution 331 D.1 Introduction 331 D.2 Probability Density Function 331 D.3 Marginalization 332 D.4 Conditioning 333 D.5 Product of Gaussian pdfs 334 D.6 Division of Gaussian pdfs 337 D.7 Mixture of Gaussians 337 D.7.1 Reduce the Number of Components in Gaussian Mixtures 338 Which Components to Merge? 340 How to Merge Components? 341 D.8 Summary 342 Appendix: Matrix Equations 343 Bibliography 345 Index 357
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG The LowCode AI Maturity Model
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