Comparison of wavelet thresholding methods for industrial data compression

Abstract

Nowadays in industry, data acquisition system signals are often compressed by piecewise linear trending. Many authors have indicated that compression with use of a wavelet transform provides better results. In this paper, the threshold selection algorithms, such as VisuShrink, SureShrink, BayesShrink, and NeighCoeffs are compared experimentally using real industrial data from the Damadics benchmark. The impact of the compression on the decoded signal is analysed. The results of the calculations are compared with a standard piecewise linear trending approach.

DOI: 10.1109/IDAACS.2015.7340727

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Cite this paper

@article{Sztyber2015ComparisonOW, title={Comparison of wavelet thresholding methods for industrial data compression}, author={Anna Sztyber and Marcin Pobocha}, journal={2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)}, year={2015}, volume={1}, pages={192-197} }