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Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) book cover by Steven Roman
Hardcover

Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)

by Steven Roman

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Hardcover · 326 pages Springer New York · 1996

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About the book

Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)

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.

Details

Publisher
Springer New York
Author
Steven Roman
Format
Hardcover
Published
Nov 26, 1996
ISBN-13
9780387947044
Pages
326
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