Introduction to Data Compression, 4/e (Hardcover)

Khalid Sayood Ph.D.

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商品描述

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.

 

 

 

  • 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
  • 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

商品描述(中文翻譯)

每一版的《數據壓縮導論》都被廣泛認為是數據壓縮藝術與科學的最佳入門與參考書籍,而第四版延續了這一傳統。數據壓縮技術和技術不斷演進,並在圖像、語音、文本、音頻和視頻等新應用中不斷出現。第四版包含了讀者在工作日和課堂上所需的所有前沿更新。

Khalid Sayood 提供了對當今壓縮技術背後理論的廣泛介紹,並通過多個範例詳細說明其應用,以解釋相關概念。《數據壓縮導論》涵蓋了整個數據壓縮領域,包括無損壓縮和有損壓縮、霍夫曼編碼、算術編碼、字典技術、基於上下文的壓縮、標量和向量量化。Khalid Sayood 提供了數據壓縮的實用知識,使讀者在完成本書後能夠開發出完整且簡明的壓縮套件。

- 新增內容以更詳細地描述 JPEG 2000 標準
- 新增內容包括針對互聯網應用的語音編碼
- 深入解釋已建立和新興標準,包括 JPEG 2000、JPEG-LS、MPEG-2、H.264、JBIG 2、ADPCM、LPC、CELP、MELP 和 iLBC
- 通過伴隨網站提供源代碼,讓讀者有機會構建自己的算法,選擇並在自己的應用中實施技術