2013•Computer Engineering and Applications JournalOpen access

Dynamic parameter control method for process data compression ratio

Jun Fang

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Abstract

For lossy compression algorithm, such as SDT, box car, backward slope, it is difficult to find a suitable compression deviation △E . So compression deviation seriously limits the compression algorithm’s practicability and convenience. In view of this, it puts forward a dynamic parameter control method based on compressed ratio CR(CR=1- number of data compression/ number of data before compression). It assumes that the compression ratio CR and compression deviation have linear relation. Given the compression ratio CR dest , it can dynamically adjust △E so as to CR CR dest . The method makes compression ratio under control, and reduces the actual operation difficulty for related compression algorithm.

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What this paper is about

For lossy compression algorithm, such as SDT, box car, backward slope, it is difficult to find a suitable compression deviation △E . So compression deviation seriously limits the compression algorithm’s practicability and convenience. In view of this, it puts forward a dynamic parameter control method based on compressed ratio CR(CR=1- number of data compression/ number of data before compression). It assumes that the compression ratio CR and compression deviation have linear relation. Given the compression ratio CR dest , it can dynamically adjust △E so as to CR CR dest . The method makes compression ratio under control, and reduces the actual operation difficulty for related compression algorithm.

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Available abstract

For lossy compression algorithm, such as SDT, box car, backward slope, it is difficult to find a suitable compression deviation △E . So compression deviation seriously limits the compression algorithm’s practicability and convenience. In view of this, it puts forward a dynamic parameter control method based on compressed ratio CR(CR=1- number of data compression/ number of data before compression). It assumes that the compression ratio CR and compression deviation have linear relation. Given the compression ratio CR dest , it can dynamically adjust △E so as to CR CR dest . The method makes compression ratio under control, and reduces the actual operation difficulty for related compression algorithm.

Key concepts: Lossy compression, Compression ratio, Compression (physics), Data compression, Data compression ratio, Lossless compression, Algorithm, Computer science

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