Titlebook: A Concise Introduction to Data Compression; David Salomon Textbook 2008 Springer-Verlag London 2008 Coding and information theory.Image, a

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Stefano Rovetta,Francesco MasulliThe discipline of data compression is vast. It is based on many approaches and techniques and it borrows many tools, ideas, and concepts from diverse scientific, engineering, and mathematical fields. The following are just a few examples:

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Complex-Valued Deep Belief Networks occurrence (or, equivalently, their probabilities), the method constructs a set of variable-length codewords with the shortest average length and assigns them to the symbols. Huffman coding serves as the basis for several applications implemented on popular platforms. Some programs use just the Huf

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Vasiliy Osipov,Viktor Nikiforovesult, the compression produced by this method depends on how good that model is. Dictionary-based compression methods are different. They do not use a statistical model of the data, nor do they employ variable-length codes. Instead they select strings of symbols from the input and employ a dictiona

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Smart Innovation, Systems and Technologiesat the only case where it produces ideal variable-length codes (codes whose average size equals the entropy) is when the symbols have probabilities of occurrence that are negative powers of 2 (i.e., numbers such as 1/2, 1/4, or 1/8). This is because the Huffman method assigns a code with an integral

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https://doi.org/10.1007/978-3-319-18164-6 take computer users long to realize that a computer can also store and process nonnumeric data. The term “multimedia,” which became popular in the 1990s, refers to the ability to digitize, store, and manipulate in the computer all kinds of data, not just numbers. Previous chapters discussed digital

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