Introduction to Data Compression

ISBN-10: 0124157963
ISBN-13: 9780124157965
Edition: 4th 2012
Authors: Khalid Sayood
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Description: 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 fourth edition continues in this tradition. Data compression techniques and  More...

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Book details

List price: $54.99
Edition: 4th
Copyright year: 2012
Publisher: Elsevier Science & Technology
Publication date: 12/18/2012
Binding: Hardcover
Pages: 768
Size: 7.75" wide x 9.50" long x 2.00" tall
Weight: 3.784
Language: 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 fourth edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The fourth edition includes all the cutting edge updates the reader will need during the work day and in class. Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, Introduction to Data Compression includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book. New content added to include a more detailed description of the JPEG 2000 standard New content includes speech coding for internet applications Explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, and iLBC Source code provided via companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications

Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Heins Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.

Introduction
Lossless Compression
Huffman Coding
Arithmetic Coding
Dictionary Techniques
Context Based Compression
Lossless Image Compression
Lossy Coding
Scalar Quantization
Vector Quantization
Differential Encoding
Transforms, Subbands, and Wavelets
Transform Coding
Subband Coding
Wavelet-Based Compression
Audio Coding
Analysis/Synthesis and Analysis by Synthesis Schemes
Video Compression
Probability and Random Processes
A Brief Review of Matrix Concepts
The Root Lattices
Bibliography

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