Graduate Texts in Mathematics

Coding and Information Theory

Authors: Roman, Steven

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About this Textbook

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.

Buy this book

Hardcover $84.95
price for USA
  • ISBN 978-0-387-97812-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Coding and Information Theory
Authors
Series Title
Graduate Texts in Mathematics
Series Volume
134
Copyright
1992
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
Hardcover ISBN
978-0-387-97812-3
Series ISSN
0072-5285
Edition Number
1
Number of Pages
XVIII, 488
Topics