From archiving to CD-ROMS, and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This is an overview of the many different types of compression, including a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common uses. It is divided into four main parts based on the main branches of data compression: run length encoding; statistical methods; dictionary-based methods; and ...
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From archiving to CD-ROMS, and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This is an overview of the many different types of compression, including a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common uses. It is divided into four main parts based on the main branches of data compression: run length encoding; statistical methods; dictionary-based methods; and lossy image compression. All of the most well-known compression techniques are covered, including Zip, BinHex, Huffman coding and GIF. Readers are presupposed to have a basic understanding of computer science - essentially the storage of data in bytes and bits and computing terminology.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 800grams, ISBN: 9780387982809.
The book is a great font of concepts and techniques, with acessible explanation. Its good for textbook and also to autonomous learning. Some chapters may need some background from readers.
