Introduction to Information Theory and Data Compression

by Peter D. Johnson Jr., Greg A. Harris, D.C. Hankerson

Overview

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no pr

Product Details

ISBN-13:	9781040171332
Publisher:	CRC Press
Publication date:	02/26/2003
Series:	Applied Mathematics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	384
File size:	5 MB

About the Author

Johnson, Jr.; Harris, Greg A.; Hankerson, D.C.

Table of Contents

INFORMATION THEORY: Elementary Probability. Information and Entropy. Channels and Channel Capacity. Coding Theory. DATA COMPRESSION: Lossless Data Compression by Replacement Schemes. Arithmetic Coding. Higher-Order Modeling. Adaptive Methods. Dictionary Methods. Transform Methods and Image Compression. Appendices. Bibliography. Index.