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Entropy and Information Theory

Entropy and Information Theory
Hardcover
Edition:
2nd ed. 2011
Author:
Robert M. Gray
Publisher:
Springer
Release Date:
2011
ISBN-10:
1441979697
ISBN-13:
9781441979698
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About Entropy and Information Theory

This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New in this edition: Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes Expanded discussion of results from ergodic theory relevant to information theory Expanded treatment of B-processes -- processes formed by stationary coding memoryless sources New material on trading off information and distortion, including the Marton inequality New material on the properties of optimal and asymptotically optimal source codes New material on the relationships of source coding and rate-constrained simulation or modeling of random processes Significant…

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