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Compression of process data with a wavelet method
Author(s) -
Franzen Andreas
Publication year - 1998
Publication title -
steel research
Language(s) - English
Resource type - Journals
eISSN - 1869-344X
pISSN - 0177-4832
DOI - 10.1002/srin.199801603
Subject(s) - lossless compression , wavelet , data compression , compression (physics) , redundancy (engineering) , transformation (genetics) , computer science , algorithm , data mining , artificial intelligence , materials science , biochemistry , chemistry , composite material , gene , operating system
The subject of this paper is a method for compressing noisy measurement data as far as possible without unacceptable loss of relevant information. This is achieved by transformation into wavelet space and conversion of the wavelet coefficients to small integers. The resulting data file has a high redundancy. Thus, its size can be reduced to some percent of the size of the original data file by standard lossless data compression. The method described is simple and universally applicable.
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