Introduction to Data Compression, Fourth Edition pdf epub mobi txt 電子書下載2025

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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.

出版者:Morgan Kaufmann

作者:Khalid Sayood Ph.D.

出品人:

頁數:768

译者:

出版時間:2012-10-30

價格:USD 89.95

裝幀:Hardcover

isbn號碼:9780124157965

叢書系列:

圖書標籤:

數據壓縮
Computer.Science
計算機
管理信息係統
算法
程序設計
信息論

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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 fourth edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The fourth 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. It features: new content added to include a more detailed description of the JPEG 2000 standard; new content includes speech coding for internet applications; explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, and iLBC; and 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.