Entropy and Information Theory

Entropy and Information Theory

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2014 · English · Paperback · 4 editions
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Description

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: Significant material not covered in other information theory texts includes stationary/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels.

Book Details

Format Paperback
Pages 436 pages
Language English
Published Sep 18, 2014
Publisher Springer
Editions 4 editions
ISBN-10 1489981322
ISBN-13 9781489981325

Genres

Science & Technology
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