Introduction to Data Compression 4/e (H)
- 20本以上，享 8.5折
售價
$
1,450
- 一般書籍
- ISBN：9780124157965
- 作者：Kholid Sayood
- 版次：4
- 年份：2012
- 出版商：Elsevier B.V.
- 頁數/規格：740頁/精裝單色
書籍介紹
目錄
作者介紹
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 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.
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.
Table of Contents
CH 1: Introduction
CH 2: Mathematical Preliminaries for Lossless Compression
CH 3: Huffman Coding
CH 4: Arithmetic Coding
CH 5: Dictionary Techniques
CH 6: Context-Based Compression
CH 7: Lossless Image Compression
CH 8: Mathematical Preliminaries for Lossy Coding
CH 9: Scalar Quantization
CH 10: Vector Quantization
CH 11: Differential Encoding
CH 12: Mathematical Preliminaries for Transforms, Subbands, and Wavelets
CH 13: Transform Coding
CH 14: Subband Coding
CH 15: Wavelet
CH 16: Wavelet-Based Image Compression
CH 17: Audio Coding
CH 18: Analysis/Synthesis and Analysis by Synthesis Schemes
CH 19: Video Compression
CH 1: Introduction
CH 2: Mathematical Preliminaries for Lossless Compression
CH 3: Huffman Coding
CH 4: Arithmetic Coding
CH 5: Dictionary Techniques
CH 6: Context-Based Compression
CH 7: Lossless Image Compression
CH 8: Mathematical Preliminaries for Lossy Coding
CH 9: Scalar Quantization
CH 10: Vector Quantization
CH 11: Differential Encoding
CH 12: Mathematical Preliminaries for Transforms, Subbands, and Wavelets
CH 13: Transform Coding
CH 14: Subband Coding
CH 15: Wavelet
CH 16: Wavelet-Based Image Compression
CH 17: Audio Coding
CH 18: Analysis/Synthesis and Analysis by Synthesis Schemes
CH 19: Video Compression
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.
