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Details for article 11 of 11 found articles
| Title: |
Process data de-noising using wavelet transform |
| Author: |
Bakhtazad, A. Palazoglu, A. Romagnoli, J.A. |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 3 (2013) nr. 4 pages 267-285 |
| Year: |
2013-06-14 |
| Contents: |
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. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 11 of 11 found articles
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