Introduction to Data Compression, Khalid Sayood, Informatik Bücher
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Introduction to Data Compression

Introduction to Data Compression
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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 third edition continues in this tradition. Data compression techniques and... mehr

2006, 3rd ed., XV, 680 Seiten, Maße: 19,7 x 25,3 cm, Gebunden, Englisch Morgan Kaufmann ISBN-10: 012620862X
ISBN-13: 9780126208627
 

Produkt-Beschreibung zu: Introduction to Data Compression

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 third edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The third 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 developa complete and concise compression package upon completion of his book.
New content added on the topic of audio compression including a description of the mp3 algorithm
New video coding standard and new facsimile standard explained
Completely explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, Group 3 and 4 faxes, JBIG 2, ADPCM, LPC, CELP, and MELP
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
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Autoren-Porträt von Khalid Sayood:

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 Henson Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.

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