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26 October 1999 Coefficient denoising method with wavelet transform
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Abstract
In this paper, the recovery of noisy process data or de- noising using wavelets is studied. In addition, the effectiveness of some wavelet-based modern algorithms of process data recovery is experimented. A novel approach in de-noising according to the WienerShrink method of wavelet coefficients thresholding is suggested. Finally, the results of computer simulation for a special case study and comparing the mean square errors of the algorithms are presented. Two Continuous Stirred Tank Reactors in series with an intermediate mixer, are considered as a case study. The results show the advantages of our method over the previous wavelet-based approaches.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amid Bakhtazad and Jose A. Romagnoli "Coefficient denoising method with wavelet transform", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366831
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