Elements of information theory
T. M. Cover (Author), Joy A. Thomas (Author)
"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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department."--Publisher's website
Print Book, English, 2006
Second edition View all formats and editions
Wiley-Interscience, Hoboken, N.J., 2006
Internet Resources
xxiii, 748 pages : illustrations ; 25 cm
9780471241959, 0471241954
59879802
Introduction
Entropy, relative entropy, and mutual information
Asymptotic equipartition property
Entropy rates of a stochastic process
Data compression
Gambling and data compression
Channel capacity
Differential entropy
Gaussian channel
Rate distortion theory
Information theory and statistics
Maximum entropy
Universal source coding
Kolmogorov complexity
Network information theory
Information theory and portfolio theory
Inequalities in information theory
"A Wiley-Interscience publication"--t.p. verso