Introduction to Data Compression

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Khalid Sayood (Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, Nebraska, USA)

Introduction to Data Compression

Khalid Sayood (Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, Nebraska, USA)

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English

Morgan Kaufmann Publishers In
23 October 2017

Information theory; Electricity, electromagnetism & magnetism; Graphics programming; Data encryption; Signal processing

Series: The Morgan Kaufmann Series in Multimedia Information and Systems

Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression.

Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.

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, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.

The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.

By: Khalid Sayood (Department of Electrical and Computer Engineering University of Nebraska Lincoln Nebraska USA)
Imprint: Morgan Kaufmann Publishers In
Country of Publication: United States
Edition: 5th edition
Dimensions: Height: 234mm, Width: 191mm,
Weight: 1.590kg
ISBN: 9780128094747
ISBN 10: 0128094745
Series: The Morgan Kaufmann Series in Multimedia Information and Systems
Pages: 790
Publication Date: 23 October 2017
Audience: College/higher education , Primary
Replaced By: 9780443273926
Format: Paperback
Publisher's Status: Active

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.