Introduction to Coding and Information Theory

ISBN-10: 0387947043
ISBN-13: 9780387947044
Edition: 1997
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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  More...

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Book details

Copyright year: 1997
Publisher: Springer
Publication date: 11/26/1996
Binding: Hardcover
Pages: 326
Size: 7.50" wide x 9.50" long x 0.75" tall
Weight: 1.694
Language: English

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, 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

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