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Proceedings Paper

Coefficient denoising method with wavelet transform
Author(s): Amid Bakhtazad; Jose A. Romagnoli
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Paper 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.

Paper Details

Date Published: 26 October 1999
PDF: 9 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366831
Show Author Affiliations
Amid Bakhtazad, Univ. of Sydney (Australia)
Jose A. Romagnoli, Univ. of Sydney (Australia)

Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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