Coding and Information Theory

By:

Steven Roman

Format:

Hardback

Series:

Graduate Texts in Mathematics,

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Description

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.

Release date Australia

June 4th, 1992

Author

Steven Roman

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Illustrations

XVIII, 488 p.

Pages

488

Series

Graduate Texts in Mathematics,

Dimensions

156x234x28

ISBN-13

9780387978123

Product ID

2043028

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