Overview

This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.

ISBN-13

9780387947044

ISBN-10

0387947043

Weight

4.23 Pounds

Dimensions

7.00 x 0.81 x 10.00 In

List Price

$84.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xiv, 326 pages

Publisher

Springer

Published On

1996-11-26



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