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Springer Entropy and Information Theory - Updated Edition

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Description

Entropy and Information Theory by Springer is an updated version of the information theory classic originally published in 1990. This comprehensive text provides a deep look into Shannon source and channel coding theorems, which comprise about one-third of the book. The remaining sections cover sources, channels, codes, and the properties of information and distortion measures. This new edition includes expanded content on stationary or sliding-block codes and their relationship to traditional block codes. Readers will also find an expanded discussion of ergodic theory results relevant to information theory. Additionally, the book provides an expanded treatment of B-processes, which are processes formed by stationary coding memoryless sources. This text remains a foundational resource for those studying information systems and computer science.

Key Features

This updated edition of the Springer classic includes expanded treatment of stationary or sliding-block codes and their relations to traditional block codes.

The text features an expanded discussion of results from ergodic theory that are relevant to the study of information theory.

Readers can access an expanded treatment of B-processes, which are processes formed by stationary coding memoryless sources.

Approximately one-third of this book is dedicated to Shannon source and channel coding theorems for technical depth.

The content covers essential topics including sources, channels, codes, and the properties of information and distortion measures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 September 2014
Listed Since
18 September 2014

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No barcode data available

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