Information theory and rate distortion theory for communications and compression
著者
書誌事項
Information theory and rate distortion theory for communications and compression
（Synthesis lectures on communications, 9）
Morgan & Claypool Publishers, c2014
- : hbk
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
Preface
Communications, Compression and Fundamental Limits
Entropy and Mutual Information
Lossless Source Coding
Channel Capacity
Rate Distortion Theory and Lossy Source Coding
Bibliography
Author's Biography
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