Introduction to Information Theory and Data Compression

✍ Scribed by D.C. Hankerson, Greg A. Harris, Peter D. Johnson Jr.

Publisher: Chapman & Hall/CRC Press
Year: 2003
Tongue: English
Leaves: 362
Series: Discrete mathematics and its applications
Edition: 2nd ed
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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This book breaks ground even now in the 21st Century! There's not a day that goes by - and I mean this literally - that I do not use this book to break ground - and I mean that figuratively. Wait - no, I mean that literally, too, come to think about it, if one considers the as-yet-untilled fertile

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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 design

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✍ Khalid Sayood 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

This book is quit good for data compression. It covers a lot of topics. But for developing your own code, you may need some additional books. For example, DSP using Matlab and wavelets should be a good one.The book has clarity and is well written.In the wavelet compression chapter there are few err

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✍ Khalid Sayood 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

Each edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and the third edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in im