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Information Theory and Rate Distortion Theory for Communications and Compression (Paperback)
Loot Price: R933
Discovery Miles 9 330
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Information Theory and Rate Distortion Theory for Communications and Compression (Paperback)
Series: Synthesis Lectures on Communications
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This book is very specifically targeted to problems in
communications and compression by providing the fundamental
principles and results in information theory and rate distortion
theory for these applications and presenting methods that have
proved and will prove useful in analyzing and designing real
systems. The chapters contain treatments of entropy, mutual
information, lossless source coding, channel capacity, and rate
distortion theory; however, it is the selection, ordering, and
presentation of the topics within these broad categories that is
unique to this concise book. While the coverage of some standard
topics is shortened or eliminated, the standard, but important,
topics of the chain rules for entropy and mutual information,
relative entropy, the data processing inequality, and the Markov
chain condition receive a full treatment. Similarly, lossless
source coding techniques presented include the Lempel-Ziv-Welch
coding method. The material on rate Distortion theory and exploring
fundamental limits on lossy source coding covers the
often-neglected Shannon lower bound and the Shannon backward
channel condition, rate distortion theory for sources with memory,
and the extremely practical topic of rate distortion functions for
composite sources. The target audience for the book consists of
graduate students at the master's degree level and practicing
engineers. It is hoped that practicing engineers can work through
this book and comprehend the key results needed to understand the
utility of information theory and rate distortion theory and then
utilize the results presented to analyze and perhaps improve the
communications and compression systems with which they are
familiar.
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