Introduction to Coding and Information Theory

By:

Steven Roman

Format:

Hardback

Series:

Undergraduate Texts in Mathematics

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Description

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.

Release date Australia

November 26th, 1996

Author

Steven Roman

Audience

Undergraduate

Illustrations

XIV, 326 p.

Pages

326

Series

Undergraduate Texts in Mathematics

Dimensions

178x254x20

ISBN-13

9780387947044

Product ID

2048687

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