Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems)

Sayood Ph.D., Khalid

ISBN 10: 012620862X / ISBN 13: 9780126208627

Editore: Morgan Kaufmann, 2005

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In shrink wrap. Looks like an interesting title.

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Dati bibliografici

• Titolo: Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems)
• Editore: Morgan Kaufmann
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 012620862X
• ISBN 13: 9780126208627
• Rilegatura: Hardcover
• Edizione: terza edizione
• Condizione: New

Descrizione articolo

Riassunto

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 develop a 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

Informazioni sull?autore

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.