Compression Algorithms for Real Programmers
Wayner, Peter
ISBN 10: 0127887741 ISBN 13: 9780127887746
Published by Elsevier Science & Technology, 1999
Used
Soft cover
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Better World Books, Mishawaka, IN, U.S.A.
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About this Item
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Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Seller Inventory # GRP90314818
Synopsis:
In life, time is money, and on the Internet, the size of data is money. Small programs and small files take less disk space and cost less to send over the Internet. Compression Algorithms for Real Programmers describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. These new algorithms are making it possible for people to take impossibly large audio and video files and compress them enough that they can flow over the Internet.
* Examines the classic algorithms like Huffman coding, arithmetic compression, and dictionary-based schemes in depth* Describes the basic approaches used to squeeze audio and video signals by factors of as much as 100:1* Discusses the philosophy of compression to illustrate the underlying trade-offs in the algorithms* Explores the use of wavelets and other modeling techniques that use repetitive functions to squeeze audio and video* Shows how programming solutions like Adobe PostScript can save space and make networks more efficient* Describes new approaches using fractals and grammars just being explored by the compression community* Shows how to extend the algorithms and use them for copyright protection
About the Author: Peter Wayner is a writer living in Baltimore and is the author of Digital Cash and Agents at Large (both Academic Press). His writings appear in numerous academic journals as well as the pages of more popular forums such as MacWorld and the New York Times. He has taught various computer science courses at Cornell University and Georgetown University.
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Bibliographic Details
Title: Compression Algorithms for Real Programmers
Publisher: Elsevier Science & Technology
Publication Date: 1999
Binding: Soft cover
Condition: Good
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