Journal Article10.1016/S1088-467X(99)00023-2
Process data de-noising using wavelet transform
Amid Bakhtazad,Ahmet Palazoglu,Jose A. Romagnoli +2 more
- 01 Jul 1999
- Vol. 3, Iss: 4, pp 267-285
47
TL;DR: A novel method based on coefficient de-noising according to WienerShrink method of wavelet thresholding is proposed, highlighting the advantages of the de- noising method over the classical approaches based on the mean square error criterion.
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Abstract: The recovery of process information from noisy data de-noising is studied by investigating the classical solution of the estimation problem first. Next, the effectiveness of wavelet-based algorithms for data recovery is considered. A novel method based on coefficient de-noising according to WienerShrink method of wavelet thresholding is proposed. Simulation results are presented, highlighting the advantages of the de-noising method over the classical approaches based on the mean square error criterion.
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