Introduction to information theory and data compression Darrel Hankerson, Greg A. Harris, Peter D. Johnson, Jr. Discrete mathematics and its applications.

Hankerson, Darrel R.:

ISBN 10: 1584883138 / ISBN 13: 9781584883135

Published by Boca, Chapman & Hall/CRC [2003]., 2003

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 94 HAN 2nd.ed 9781584883135 Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 2502122

Bibliographic Details

• Title: Introduction to information theory and data compression Darrel Hankerson, Greg A. Harris, Peter D. Johnson, Jr. Discrete mathematics and its applications.
• Publisher: Boca, Chapman & Hall/CRC [2003].
• Publication Date: 2003
• Language: English
• ISBN 10: 1584883138
• ISBN 13: 9781584883135
• Binding: Hardcover
• Edition: 2nd Edition
• Weight: 550 grams
• Seller catalogs:
  • SA MATHEMATIK

About this title

Synopsis

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 prior knowledge of information theory.

The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources.

The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics.

Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science.

Features:

Expanded discussion of the historical and theoretical basis of information theory that builds a firm, intuitive grasp of the subject

Reorganization of theoretical results along with new exercises, ranging from the routine to the more difficult, that reinforce students' ability to apply the definitions and results in specific situations.

Simplified treatment of the algorithm(s) of Gallager and Knuth

Discussion of the information rate of a code and the trade-off between error correction and information rate

Treatment of probabilistic finite state source automata, including basic resul

About the Author

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