Introduction to Coding and Information Theory

Name: Introduction to Coding and Information Theory
Price: 51.32 USD
Availability: InStock
ISBN: 9780387947044

ISBN-10: 0387947043

ISBN-13: 9780387947044

Edition: 1997

Authors: Sheldon J. Axler, F. W. Gehring, P. R. Halmos, Steven Roman

List price: $84.99

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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.

Book details

List price: $84.99
Copyright year: 1997
Publisher: Springer New York
Publication date: 11/26/1996
Binding: Hardcover
Pages: 326
Size: 7.01" wide x 10.00" long x 0.34" tall
Weight: 2.002
Language: English

Steven Roman, Ph.D., is a professor emeritus of mathematics at the California State University, Fullerton. His previous books with O'Reilly include "Access Database Design and Programming", "Writing Excel Macros with VBA", and "Win32 API Programming with Visual Basic".



Preface


Introduction



Preliminaries



An Introduction to Codes



Efficient Encoding



Noiseless Coding



The Main Coding Theory Problem



Linear Codes



Some Special Codes



An Introduction to Cyclic Codes


Answers to Selected Odd-Numbered Exercises


References


Index