Coding and Information Theory by Steven Roman

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Summary

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).

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Coding and Information Theory by Steven Roman

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.

Steven Roman is an Emeritus Mathematics Professor at the University of California. Field Theory, Advanced Linear Algebra, Introduction to Coding and Information Theory, and most recently Foundations of Group Theory are among his many Springer publications.

SKU Unavailable
ISBN 13 9780387978123
ISBN 10 0387978127
Title Coding and Information Theory
Author Steven Roman
Series Graduate Texts In Mathematics
Condition Unavailable
Binding Type Hardback
Publisher Springer-Verlag New York Inc.
Year published 1992-06-04
Number of pages 488
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.