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, UC Berkeley, Bu-Ali Sina
U, UC San Diego, UC Santa Barbra,
UC Santa Cruz, Caltech, Columbia,
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 Universitt Mnchen,
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, COMSATS Institute of Technology,
Univ of Copenhagen,
Delft Univ of Tech, Centro de Estudos em Telecomunicaes,
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, Linkping 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 Tecnolgico de Aeronutica,
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.
e-book (free with institutional
subscription)
Book Reviews
IEEE Information
Theory Society