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A Guide to Data Compression Methods : Springer Professional Computing - David Salomon

A Guide to Data Compression Methods

By: David Salomon

Paperback | 1 February 2002

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The book is about compressing all types of computer data and what methods and algorithms to use. Its purpose is to describe and explain the principles behind the growing field of data compression and how to use them effectively. The discussion concentrates on general principles and methods all describes them with a minimum amount of mathematics. The book is aimed toward readers who do not have much background in computers and want to understand how data can be compressed. The reader can expect to gain a basic understanding of the important algorithms and methods used to compress data.Topics and features:- acceptable to use with only minimum computer and math background;- coverage of principles and general approaches, as well as specific methods and algorithms;- useful glossary with all basic terms for the field;- helpful appendix lists all algorithms presented in the book;- CD-ROM included with book comprising useful computer code used in the book and public-domain compression programs.
Industry Reviews

From the reviews:

"The author has done an excellent job. He has written a practical guidebook that covers the range of compression issues, from arithmetic compression to wavelet compression, passing through compression methods for static images, video, and audio. The mathematical framework used in comprehensive without being messy. The author describes every method with no more than the necessary mathematical theory. He also provides easy-to-follow examples, which solve the few doubts the reader might have after reading the theory." --Computing Reviews

"The current book is intended for people interested in a basic understanding of the increasingly important field of data compression ... . this book is nicely written and well organized. ... the author has done a very good job in explaining all these complicated concepts, and presenting related algorithms and their analysis, with a minimal amount of mathematics. This is remarkable. Another good feature of this book is that... it contains many examples that are well chosen, easy to follow, and real." (Zhizhang Shen, Zentralblatt Math, Vol. 996 (21), 2002)

You Can Find This Book In

Non-FictionComputing & I.T.DatabasesData Capture & AnalysisComputer SecurityData EncryptionComputer Networking & CommunicationsData MiningEngineering & TechnologyElectronics & Communications EngineeringCommunications Engineering & Telecommunications

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