Introduction to Coding and Information Theory by Steven Roman

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Summary

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.

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Introduction to Coding and Information Theory by Steven Roman

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.

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 9780387947044
ISBN 10 0387947043
Title Introduction to Coding and Information Theory
Author Steven Roman
Series Undergraduate Texts In Mathematics
Condition Unavailable
Binding Type Hardback
Publisher Springer-Verlag New York Inc.
Year published 1996-11-26
Number of pages 326
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.