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Introduction to information theory and data compression

Author: Darrel R Hankerson; Greg A Harris; Peter D Johnson
Publisher: Boca Raton, Fla. : Chapman & Hall/CRC Press, ©2003.
Series: Discrete mathematics and its applications.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
Imparting the basics of both information theory & data compression, this text allows readers to explore either topic independently of the other. New in this edition is a detailed history of information theory that provides a solid background in the quantification of the subject.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Darrel R Hankerson; Greg A Harris; Peter D Johnson
ISBN: 1584883138 9781584883135
OCLC Number: 51222327
Description: xi, 366 p. : ill. ; 25 cm.
Contents: Part 1. Information theory --
Elementary probability --
Information and entropy --
Channels and channel capacity --
Coding theory --
Part 2. Data compression --
Lossless data compression by replacement schemes --
Arithmetic coding --
Higher-order modeling --
Adaptive methods --
Dictionary methods --
Transform methods and image compression.
Series Title: Discrete mathematics and its applications.
Responsibility: Darrel Hankerson, Greg A. Harris, Peter D. Johnson, Jr.
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Abstract:

Presents the fundamentals of information theory and data compression. This book discusses the historical and theoretical basis of information theory. It also covers algorithm(s) of Gallager and  Read more...

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"Statisticians, applied mathematicians, engineers, and computer scientists will find this well-written book useful." -Journal of Statistical Computation and Simulation

 
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