Information Theory and Network Coding

By: Raymond W. Yeung

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Hardcover | 10 September 2008 | Edition Number 2008

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604 Pages

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23.5 x 15.6

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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.

Industry Reviews

From the reviews:

"This book could serve as a reference in the general area of information theory and would be of interest to electrical engineers, computer engineers, or computer scientists with an interest in information theory. Each chapter has an appropriate problem set at the end and a brief paragraph that provides insight into the historical significance of the material covered therein. ... Summing Up: Recommended. Upper-division undergraduate through professional collections." (J. Beidler, Choice, Vol. 46 (9), May, 2009)

"The book consisting of 21 chapters is divided into two parts. Part I, Components of Information Theory ... . Part II Fundamentals of Network Coding ... . A comprehensive instructor's manual is available. This is a well planned comprehensive book on the subject. The writing style of the author is quite reader friendly. ... it is a welcome addition to the subject and will be very useful to students as well as to the researchers in the field." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1154, 2009)

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You Can Find This Book In

Non-Fiction Reference, Information & Interdisciplinary Subjects Research & Information Information theory Computing & I.T.Computer Science Mathematics Probability & Statistics Computer Networking & Communications Engineering & Technology Energy Technology & Engineering Electrical Engineering

Electronics & Communications Engineering Communications Engineering & Telecommunications Computer Hardware Network Hardware Technology in General Engineering in General

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Paperback

Published: 24th November 2010

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The Science of Information	p. 1
Components of Information Theory
Information Measures	p. 7
The I-Measure	p. 51
Zero-Error Data Compression	p. 81
Weak Typicality	p. 101
Strong Typicality	p. 113
Discrete Memoryless Channels	p. 137
Rate Distortion Theory	p. 182
The Blahut-Arimoto Algorithms	p. 211
Differential Entropy	p. 229
Continuous-Valued Channels	p. 257
Markov Structures	p. 299
Information Inequalities	p. 323
Shannon-Type Inequalities	p. 339
Beyond Shannon-Type	p. 361
Entropy and Groups	p. 387
Fundamentals of Network Coding
Introduction	p. 411
The Max-Flow Bound	p. 421
Single-Source Linear Network Coding: Acyclic Networks	p. 435
Single-Source Linear Network Coding: Cyclic Networks	p. 485
Multi-Source Network Coding	p. 505
Bibliography	p. 541
Index	p. 561
Table of Contents provided by Blackwell. All Rights Reserved.

Information Theory and Network Coding

At a Glance

Hardcover

Industry Reviews

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How to return your order

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You Can Find This Book In

Other Editions and Formats

Paperback

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