Introduction to Data Compression

Introduction to Data Compression

by Khalid Sayood
     
 

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The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book

Overview

The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own.

Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.

Features:
  • Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression.
  • Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards.
  • Detailed examples follow each new concept or algorithm.
  • Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own.
  • Optional starred sections provide enhanced technical or theoretical discussions.
  • Appendices on probability theory, random processes, and matrix concepts are included for reference.

Editorial Reviews

From the Publisher
This text is a truly introductory treatment of the entire field of data compression, including lossless coding, speech coding, and audio coding, which are often neglected in other data compression books. Sayood’s book has the very best tutorial treatment of lossless source coding anywhere, with detailed coverage of Lempel-Ziv, arithmetic, Golumb, and Tunstall coding, in addition to treatments of fixed and adaptive Huffman coding and context-based methods. Additionally, the book contains material on M-band quadrature mirror filter banks, the polyphase decomposition, and wavelets beyond what is normally found in any introductory text. I have used Sayood’s book for a reference and as a text for a course on signal compression. I highly recommend it for adoption.

-Jerry D. Gibson, Professor of Electrical and Computer Engineering, University of California, Santa Barbara

Khalid Sayood's book has long been the standard academic reference for those interested in Data Compression. I am very pleased to see his ongoing effort to keep the content timely with the release of the fourth edition this fall. If you want to be well versed in state of the art, ranging from simple lossless coding up to complex video compression, this is the only book I know that will stay with you on every step of the journey.

-Mark Nelson, Engineer at Cisco Systems, Inc and Senior Member of IEEE

Product Details

ISBN-13:
9780080509259
Publisher:
Elsevier Science
Publication date:
12/15/2005
Series:
Morgan Kaufmann Series in Multimedia Information and Systems
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
704
File size:
29 MB
Note:
This product may take a few minutes to download.

Meet the Author

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.

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