Introduction to Information Theory and Data Compression (Discrete Mathematics and Its Applications Series)
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Introduction to Information Theory and Data Compression (Discrete Mathematics and Its Applications Series)

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Introduction to Information Theory and Data Compression (Discrete Mathematics and Its Applications Series)
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by Darrel . Hankersson, Greg A. Harris, Peter D., Jr. Johnson, Darrel Hankerson

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Book Description
An effective blend of carefully explained theory and practical applications, this book has been written to offer access to the basics of information theory and data compression. The authors have applied their experience in teaching information theory and data compression to the careful preparation and unique organization of this one-of-a-kind text.

The topics are presented in two separate but related sections. The authors take a theoretical approach to information theory, and after the basic principles are explained, they are demonstrated in practical applications. The information theory section can provide a logical foundation for the subsequent presentation of data compression, although the data compression section can, alternatively, be read and taught as a self-contained independent unit. The authors approach data compression from a practical, "engineering" perspective, explaining each technique and how it can be applied. This section covers a variety of lossless compression techniques, and introduces lossy compression and general procedures for using various transforms. Although the section on data compression refers to results and proofs introduced in the information theory section, each section can be studied independently.

Readers will gain a solid understanding of information theory and a clearly presented introduction to the practical aspects of data compression. This is the first and only text to provide an elementary introductory treatment of information theory combined with a much-needed introduction to data compression.

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