Introduction to Information Theory and Data Compression

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Edition: 2nd ed

Series: Discrete mathematics and its applications

ISBN: 1584883138, 9781584883135, 9780203998090

Size: 5 MB (4876425 bytes)

Pages: 362/362

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D.C. Hankerson, Greg A. Harris, Peter D. Johnson Jr.1584883138, 9781584883135, 9780203998090

Appropriate for both math and computer engineering students, this graduate textbook explains the fundamental definitions and elementary results of information theory and their application to discrete memoryless noisy channels, then describes lossless data compression techniques and two lossy compression methods. Annotation (c)2003 Book News, Inc., Portland, OR

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