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“The Singularity Is Near: When Humans Transcend Biology Ray Kurzweil, ISBN-13: 978-0670033843” has been added to your cart. View cart
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Introduction to Data Compression 5th Edition Khalid Sayood, ISBN-13: 978-0128094747
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Industrial Automated Systems: Instrumentation and Motion Control, ISBN-13: 978-1435488885
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Catalysis: An Integrated Textbook for Students by Ulf Hanefeld, ISBN-13: 978-3527341597
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Introduction to Data Compression 5th Edition Khalid Sayood, ISBN-13: 978-0128094747

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SKU: introduction-to-data-compression-5th-edition-by-khalid-sayood-isbn-13-978-0128094747 Category: Computing Tags: Introduction to Data Compression 5th Edition by Khalid Sayood, ISBN-13: 978-0128094747, Multimedia Information and Systems
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Description

Introduction to Data Compression 5th Edition by Khalid Sayood, ISBN-13: 978-0128094747

[PDF eBook eTextbook]

  • Publisher: Morgan Kaufmann; 5th edition (November 6, 2017)
  • Language: English
  • 790 pages
  • ISBN-10: 0128094745
  • ISBN-13: 978-0128094747

The most comprehensive, up-to-date introduction to data compression available.

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.

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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