Data Compression Explained (Matt Mahoney)

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Data Compression Explained (Matt Mahoney)

Reducing the number of bits required to store or transport data is the art of data compression. It will be necessary to have basic arithmetic knowledge and prior programming experience.

The theory underlying modern compression techniques is thoroughly explained in this book, along with explicit instructions on how to use them. Several examples are included to clarify the concepts. It covers every aspect of data compression, including lossless and lossy compression, scalar and vector quantization, Huffman coding, arithmetic coding, dictionary approaches, and context-based compression.

Additionally, it gives the reader a working understanding of data compression, providing them the means to create a comprehensive and succinct compression package after finishing the book.

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