Coding and Information Theory

By: Steven Roman, P. R. Halmos (Editor), J. H. Ewing (Editor)

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Hardcover | 4 June 1992

At a Glance

Hardcover
512 Pages

Dimensions(cm)
24.77 x 16.51 x 3.18

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This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.

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Entropy
Noisless Coding
Noisy Coding
General Remarks on Codes
Linear Codes
Some Linear Codes
Finite Fields and Cyclic Codes
Some Cyclic Codes
Table of Contents provided by Publisher. All Rights Reserved.

Coding and Information Theory

At a Glance

Hardcover

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How to return your order

Defective items

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