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- W182827456 abstract "This chapter reviews the most important data-compression techniques and the theories behind them. Data compression has a side effect for secret services: using compression, some encryption is achieved because of the lack of redundancy in a compressed file removes the opportunity to use statistical regularities to break a code. Some schemes generally change their coding after each character is transmitted, so the codebreaker's task is compounded. In a data-compression process, the aim is to decrease the redundancy of a given data description. The standard processes that use this information in a computer system require standard forms. Despite the fact that computer storage capacity and the speed of a transmission line are growing extraordinary, it seems to be evident that these two fields of computer science are the most common applications of data-compression processes. The methods in the chapter are divided into four groups. These are statistical coding, dictionary coding, universal coding, and some special techniques. Statistical coding methods assume a priori knowledge of some statistical characteristics of the data to be compressed. This information is usually the relative frequency of the symbols of the data." @default.
- W182827456 created "2016-06-24" @default.
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- W182827456 date "2002-01-01" @default.
- W182827456 modified "2023-10-16" @default.
- W182827456 title "Data Compression" @default.
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- W182827456 doi "https://doi.org/10.1016/b978-012443895-8/50009-x" @default.
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