Titlebook: Data Compression; The Complete Referen David Salomon Book 20074th edition The Editor(s) (if applicable) and The Author(s), under exclusive

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https://doi.org/10.1007/978-3-030-12365-9the other hand, is done by adding check bits and parity bits, a process that increases the size of the data, thereby increasing redundancy. Data compression and data reliability are therefore opposites, and it is interesting to note that the latter is a relatively recent field, whereas the former ex

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Tadashi Inaba,Yutaka Sawaki,Masataka Tokuda statistical methods use variable-size codes, with the shorter codes assigned to symbols or groups of symbols that appear more often in the data (have a higher probability of occurrence). Designers and implementors of variable-size codes have to deal with the two problems of (1) assigning codes that

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Daisuke Mori,Hao Liu,Takami Yamaguchiel is. Dictionary-based compression methods do not use a statistical model, nor do they use variable-size codes. Instead they select strings of symbols and encode each string as a . using a dictionary. The dictionary holds strings of symbols, and it may be static or dynamic (adaptive). The former is

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Spiros Denaxas,Christian Stoeckertf sines and cosines. This surprising fact is now known as Fourier expansion and it has many applications in engineering, mainly in the analysis of signals. It can isolate the various frequencies that underlie a signal and thereby enable the user to study the signal and also edit it by deleting or ad

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Stephan Maibaum,Markus Braun,Karel Kuceraider mainly populations. Cyclic events, such as seasonal changes in temperature or precipitation, will not be considered per se as disturbance. In agreement with Hedrick (1984) a population will be defined as ‘a(chǎn) group of interbreeding individuals of the same species that coexist together in time and space’.