Coefficient denoising method with wavelet transform
Amid Bakhtazad, José A. Romagnoli · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
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.