Information Theory and Network Coding by Raymond W. Yeung, The Chinese University of Hong Kong

Springer, August 2008, 604 pp., US$ 64.95, ISBN 978-0-387-79233-0.

 

Information Theory and Network Coding consists of two parts: Components of Information Theory and Fundamentals of Network Coding Theory.  Part I is a rigorous treatment of information theory for discrete and continuous systems.  In addition to the classical topics, there are such modern topics as the I-Measure, Shannon-type and non-Shannon-type information inequalities, and a fundamental relation between entropy and group theory.  With information theory as the foundation, Part II is a comprehensive treatment of network coding theory with detailed discussions on linear network codes, convolutional network codes, and multi-source network coding.

 

Other important features include:

á       Derivations that are from the first principle

á       A large number of examples throughout the book

á       Many original exercise problems

á       Easy-to-use chapter summaries

á       Two parts that can be used separately or together for a comprehensive course

 

Information Theory and Network Coding is intended for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics.  The book can also be used as a reference for professional engineers in the area of communications.

 

Besides The Chinese University of Hong Kong, this book and its predecessor have been used as a textbook at

 

Univ of Akron, Univ of Belgrade, Ben-Gurion U, Bu-Ali Sina U, UC Berkeley, UC San Diego, UC Santa Barbra, UC Santa Cruz, Caltech, Columbia, COMSATS Institute of Technology, Cornell, Tech Univ of Crete, Dresden University of Technology, Iowa State Univ, Kansas State Univ, King MongkutŐs Univ of Technolgy,  KTH Royal Institute of Technology,  Louisiana State Univ, Univ of Maryland, Baltimore County, Univ of Massachusetts Amherst, Michigan State Univ, Univ of Nebraska-Lincoln, National Chiao Tung Univ, National Taiwan Univ of Science and Technology, Technische UniversitŠt MŸnchen, Univ of Peloponnese, Univ of Porto, RWTH Aachen Univ, S.R.M. Inst. of Sc. & Technology, Univ of South Australia, Syracuse Univ, Univ of Tehran, Univ of Thessaly, Polytechnic U of Tirana, Univ of Victoria, Univ of Washington, and Univ of Western Ontario

 

and as a reference book at

 

UC Riverside, Univ of Central Florida, Chalmers Asia, Univ of Copenhagen, Delft Univ of Tech, Centro de Estudos em Telecomunica›es, ETH, Univ of Geneva, Univ of Illinois at Urbana-Champaign, Univ of Incheon, Information and Communications University, International Institute of Information Technology, Lahore Univ of Management Sciences,  Linkšping Institute of Technology, MIT, McGill Univ, Univ of Melbourne, Univ of Minnesota, Nanyang Technological Univ, National Taiwan Ocean Univ, National Tsing Hua Univ, New Mexico State Univ, Northeastern Univ, Univ of Oklahoma, Univ of Pittsburg, Pohang Univ of Science & Tech, Queen's Univ, Univ of Rochester, Shanghai Jiao Tong Univ, Simon Fraser University, South Methodist Univ, Stanford, Instituto Tecnol—gico de Aeron‡utica, and Texas A&M, Univ of Toronto, Univ of Virginia, Worcester Polytechnic Institute, Yuan Ze Univ.

 

Solution manual available to course instructors upon request.  Please contact the author.  The author acknowledges the generous support of a research award from the Alexander von Humboldt Foundation in 2007 during which this book was written. 

 

 

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