Fundamentals In Information Theory And Coding

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Fundamentals in Information Theory and Coding

Author : Monica Borda
Publisher : Springer Science & Business Media
Page : 485 pages
File Size : 44,7 Mb
Release : 2011-05-27
Category : Technology & Engineering
ISBN : 9783642203473

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Fundamentals in Information Theory and Coding by Monica Borda Pdf

The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.

Fundamentals of Information Theory and Coding Design

Author : Roberto Togneri,Christopher J.S deSilva
Publisher : CRC Press
Page : 385 pages
File Size : 53,6 Mb
Release : 2003-01-13
Category : Computers
ISBN : 9780203998106

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Fundamentals of Information Theory and Coding Design by Roberto Togneri,Christopher J.S deSilva Pdf

Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret

Information and Coding Theory

Author : Gareth A. Jones,J.Mary Jones
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447103615

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Information and Coding Theory by Gareth A. Jones,J.Mary Jones Pdf

This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon’s Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.

Information Theory and Network Coding

Author : Raymond W. Yeung
Publisher : Springer Science & Business Media
Page : 592 pages
File Size : 44,6 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9780387792330

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Information Theory and Network Coding by Raymond W. Yeung Pdf

This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.

Information Theory and Network Coding

Author : Raymond W. Yeung
Publisher : Springer Science & Business Media
Page : 592 pages
File Size : 44,9 Mb
Release : 2008-08-28
Category : Computers
ISBN : 9780387792347

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Information Theory and Network Coding by Raymond W. Yeung Pdf

This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.

Elements of Information Theory

Author : Thomas M. Cover,Joy A. Thomas
Publisher : John Wiley & Sons
Page : 788 pages
File Size : 42,8 Mb
Release : 2012-11-28
Category : Computers
ISBN : 9781118585771

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Elements of Information Theory by Thomas M. Cover,Joy A. Thomas Pdf

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

Information Theory, Inference and Learning Algorithms

Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 40,7 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981

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Information Theory, Inference and Learning Algorithms by David J. C. MacKay Pdf

Table of contents

A Student's Guide to Coding and Information Theory

Author : Stefan M. Moser,Po-Ning Chen
Publisher : Cambridge University Press
Page : 207 pages
File Size : 52,8 Mb
Release : 2012-01-26
Category : Computers
ISBN : 9781107015838

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A Student's Guide to Coding and Information Theory by Stefan M. Moser,Po-Ning Chen Pdf

This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.

A First Course in Information Theory

Author : Raymond W. Yeung
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 41,8 Mb
Release : 2002
Category : Computers
ISBN : 0306467917

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A First Course in Information Theory by Raymond W. Yeung Pdf

An introduction to information theory for discrete random variables. Classical topics and fundamental tools are presented along with three selected advanced topics. Yeung (Chinese U. of Hong Kong) presents chapters on information measures, zero-error data compression, weak and strong typicality, the I-measure, Markov structures, channel capacity, rate distortion theory, Blahut-Arimoto algorithms, information inequalities, and Shannon-type inequalities. The advanced topics included are single-source network coding, multi-source network coding, and entropy and groups. Annotation copyrighted by Book News, Inc., Portland, OR.

An Introduction to Single-User Information Theory

Author : Fady Alajaji,Po-Ning Chen
Publisher : Springer
Page : 323 pages
File Size : 40,9 Mb
Release : 2018-04-24
Category : Mathematics
ISBN : 9789811080012

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An Introduction to Single-User Information Theory by Fady Alajaji,Po-Ning Chen Pdf

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.

Fundamentals of Index Coding

Author : Fatemeh Arbabjolfaei,Young-Han Kim
Publisher : Foundations and Trends (R) in Communications and Information Theory
Page : 200 pages
File Size : 45,9 Mb
Release : 2018-10
Category : Coding theory
ISBN : 1680834924

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Fundamentals of Index Coding by Fatemeh Arbabjolfaei,Young-Han Kim Pdf

The index coding problem provides a simple yet rich model for several important engineering tasks such as satellite communication, content broadcasting, distributed caching, device-to-device relaying, and interference management. This monograph provides a broad overview of this fascinating subject, focusing on the simplest form of multiple-unicast index coding. The main objective in studying the index coding problem are to characterize the capacity region for a general index coding instance in a computable expression and to develop the coding scheme that can achieve it. Despite their simplicity, these two closely related questions are extremely difficult and precise answers to them, after twenty years of vigorous investigation, are still in terra incognita. There are, nonetheless, many elegant results that shed light on the fundamental challenges in multiple-unicast network communication and expose intriguing interplay between coding theory, graph theory, and information theory. This monograph contains a concise survey of these results in a unified framework. It further discusses the relation to Network Coding and Distributed Storage. Fundamentals of Index Coding gives the reader a concise, yet comprehensive, overview of the work undertaken on this important topic; its relationship to adjacent areas and lays the groundwork for future research. It is a valuable starting point for all researchers and students in Information Theory.

Topics in Multi-User Information Theory

Author : Gerhard Kramer
Publisher : Now Publishers Inc
Page : 201 pages
File Size : 43,5 Mb
Release : 2008
Category : Computers
ISBN : 9781601981486

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Topics in Multi-User Information Theory by Gerhard Kramer Pdf

Presents a review of eleven of the fundamental issues in multi-user information theory. Each chapter is devoted to one particular issue and follows the same structure and starts with a problem description and then describes solutions to the problem for general and specific cases.

Network Information Theory

Author : Abbas El Gamal,Young-Han Kim
Publisher : Cambridge University Press
Page : 128 pages
File Size : 41,7 Mb
Release : 2011-12-08
Category : Technology & Engineering
ISBN : 9781139503143

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Network Information Theory by Abbas El Gamal,Young-Han Kim Pdf

This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.

Fundamentals of Error-Correcting Codes

Author : W. Cary Huffman,Vera Pless
Publisher : Cambridge University Press
Page : 668 pages
File Size : 53,6 Mb
Release : 2010-02-18
Category : Technology & Engineering
ISBN : 9781139439503

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Fundamentals of Error-Correcting Codes by W. Cary Huffman,Vera Pless Pdf

Fundamentals 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.

Quantum Zero-Error Information Theory

Author : Elloá B. Guedes,Francisco Marcos de Assis,Rex A. C. Medeiros
Publisher : Springer
Page : 189 pages
File Size : 55,6 Mb
Release : 2016-09-02
Category : Computers
ISBN : 9783319427942

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Quantum Zero-Error Information Theory by Elloá B. Guedes,Francisco Marcos de Assis,Rex A. C. Medeiros Pdf

This book aims at presenting the field of Quantum Information Theory in an intuitive, didactic and self-contained way, taking into account several multidisciplinary aspects. Therefore, this books is particularly suited to students and researchers willing to grasp fundamental concepts in Quantum Computation and Quantum Information areas. The field of Quantum Information Theory has increased significantly over the last three decades. Many results from classical information theory were translated and extended to a scenario where quantum effects become important. Most of the results in this area allows for an asymptotically small probability of error to represent and transmit information efficiently. Claude E.Shannon was the first scientist to realize that error-free classical information transmission can be accomplished under certain conditions. More recently, the concept of error-free classical communication was translated to the quantum context. The so-called Quantum Zero-Error Information Theory completes and extends the Shannon Zero-Error Information Theory.