Data compression is the art of reducing the number of bits needed to store or transmit data. Prior programming ability and some math skills will be needed.
This book 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, it includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization.
It also provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of the book.
Title Data Compression Explained
Author(s) Matt Mahoney
Publisher: Dell, Inc.
Language: English
eBook: http://mattmahoney.net/dc/dce.html
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