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Entropy and Information Theory

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ISBN-10: 0387973710

ISBN-13: 9780387973715

Edition: 1990

Authors: R. M. Gray

List price: $89.95
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Description:

This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the…    
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Book details

List price: $89.95
Copyright year: 1990
Publisher: Springer
Publication date: 9/4/1990
Binding: Hardcover
Pages: 332
Size: 6.25" wide x 9.50" long x 1.00" tall
Weight: 1.496
Language: English