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• W2137012911 abstract "A method of dynamically constructing Markov chain models that describe the characteristics of binary messages is developed. Such models can be used to predict future message characters and can therefore be used as a basis for data compression. To this end, the Markov modelling technique is combined with Guazzo's arithmetic coding scheme to produce a powerful method of data compression. The method has the advantage of being adaptive: messages may be encoded or decoded with just a single pass through the data. Experimental results reported here indicate that the Markov modelling approach generally achieves much better data compression than that observed with competing methods on typical computer data." @default.
• W2137012911 created "2016-06-24" @default.
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• W2137012911 date "1987-12-01" @default.
• W2137012911 modified "2023-10-03" @default.
• W2137012911 title "Data Compression Using Dynamic Markov Modelling" @default.
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• W2137012911 doi "https://doi.org/10.1093/comjnl/30.6.541" @default.
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