Introduction to Information Theory and Data Compression by Jr Johnson

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Introduction to Information Theory and Data Compression by Jr Johnson

Summary

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 Knuth. It discusses the information rate of a code and the trade-off between error correction and information rate.

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Introduction to Information Theory and Data Compression by Jr Johnson

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
Johnson, Jr.; Harris, Greg A.; Hankerson, D.C.
SKU Unavailable
ISBN 13 9781584883135
ISBN 10 1584883138
Title Introduction to Information Theory and Data Compression
Author Jr Johnson
Series Applied Mathematics
Condition Unavailable
Publisher Taylor & Francis Inc
Year published 2003-02-26
Number of pages 384
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable