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Entropy and Information Theory

Entropy and Information Theory
by Robert M. Gray

Publisher: Springer 2008
ISBN/ASIN: 1441979697
Number of pages: 313

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. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.

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