Introduction to Data Compression, 5/e (Paperback)
Khalid Sayood Ph.D.
- 出版商: Morgan Kaufmann
- 出版日期: 2017-10-23
- 售價: $3,980
- 貴賓價: 9.5 折 $3,781
- 語言: 英文
- 頁數: 790
- 裝訂: Paperback
- ISBN: 0128094745
- ISBN-13: 9780128094747
-
相關分類:
Data Science、資訊科學
立即出貨 (庫存 < 3)
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商品描述
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.
- Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard
- Includes more coverage of lattices in vector quantization
- Contains improved and expanded end-of-chapter problems
- Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
商品描述(中文翻譯)
《資料壓縮導論，第五版》是被廣泛認為是關於資料壓縮藝術和科學的最佳入門和參考書的成功之作。
資料壓縮技術和技術不斷發展，並在圖像、語音、文本、音頻和視頻等領域中有新的應用。這本新版書籍包含了該領域的最新發展。
Khalid Sayood對當今壓縮技術的理論提供了廣泛的介紹，並使用多個示例來解釋這些概念的應用。該書涵蓋了整個資料壓縮領域，包括無損和有損壓縮、Huffman編碼、算術編碼、字典技術、基於上下文的壓縮以及純量和向量量化。
該書提供了對資料壓縮的全面實用知識，使讀者能夠開發出完整而簡潔的壓縮方案。
- 深入解釋了已建立和新興的標準，包括JPEG 2000、JPEG-LS、MPEG-2、H.264、JBIG 2、ADPCM、LPC、CELP、MELP、iLBC和新的HEVC標準
- 更多涵蓋了向量量化中的格子
- 改進並擴展了章末問題
- 通過附帶網站提供源代碼，讓讀者有機會構建自己的算法，並在自己的應用中選擇和實現技術
