Coding Theorems of Information Theory

J. Wolfowitz

ISBN 10: 3642668240 / ISBN 13: 9783642668241

Published by Springer, Springer Gabler Nov 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -The objective of the present edition of this monograph is the same as that of earlier editions, namely, to provide readers with some mathemati cal maturity a rigorous and modern introduction to the ideas and principal theorems of probabilistic information theory. It is not necessary that readers have any prior knowledge whatever of information theory. The rapid development of the subject has had the consequence that any one book can now cover only a fraction of the literature. The latter is often written by engineers for engineers, and the mathematical reader may have some difficulty with it. The mathematician who understands the content and methods of this monograph should be able to read the literature and start on research of his own in a subject of mathematical beauty and interest. The present edition differs from the second in the following: Chapter 6 has been completely replaced by one on arbitrarily varying channels. Chapter 7 has been greatly enlarged. Chapter 8 on semi-continuous channels has been drastically shortened, and Chapter 11 on sequential decoding completely removed. The new Chapters 11-15 consist entirely of material which has been developed only in the last few years. The topics discussed are rate distortion, source coding, multiple access channels, and degraded broadcast channels. Even the specialist will find a new approach in the treatment of these subjects. Many of the proofs are new, more perspicuous, and considerably shorter than the original ones.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.

Seller Inventory # 9783642668241

Bibliographic Details

• Title: Coding Theorems of Information Theory
• Publisher: Springer, Springer Gabler Nov 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3642668240
• ISBN 13: 9783642668241
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 244W x 170H x 11D millimeters 244 millimeters width by 170 millimeters height by 11 millimeters depth
• Weight: 342 grams

About this title

Synopsis

The objective of the present edition of this monograph is the same as that of earlier editions, namely, to provide readers with some mathemati­ cal maturity a rigorous and modern introduction to the ideas and principal theorems of probabilistic information theory. It is not necessary that readers have any prior knowledge whatever of information theory. The rapid development of the subject has had the consequence that any one book can now cover only a fraction of the literature. The latter is often written by engineers for engineers, and the mathematical reader may have some difficulty with it. The mathematician who understands the content and methods of this monograph should be able to read the literature and start on research of his own in a subject of mathematical beauty and interest. The present edition differs from the second in the following: Chapter 6 has been completely replaced by one on arbitrarily varying channels. Chapter 7 has been greatly enlarged. Chapter 8 on semi-continuous channels has been drastically shortened, and Chapter 11 on sequential decoding completely removed. The new Chapters 11-15 consist entirely of material which has been developed only in the last few years. The topics discussed are rate distortion, source coding, multiple access channels, and degraded broadcast channels. Even the specialist will find a new approach in the treatment of these subjects. Many of the proofs are new, more perspicuous, and considerably shorter than the original ones.