American Journal of Circuits, Systems and Signal Processing
Articles Information
American Journal of Circuits, Systems and Signal Processing, Vol.4, No.1, Mar. 2018, Pub. Date: Jul. 20, 2018
Researches on Threshold Selection Rules of Wavelet Denoising
Pages: 1-7 Views: 1469 Downloads: 498
Authors
[01] Ye Yuting, School of Information Engineering, China University of Geosciences, Beijing, China.
[02] Li Mei, School of Information Engineering, China University of Geosciences, Beijing, China.
Abstract
A comparative analysis is made on four common threshold selection methods of wavelet denoising in this paper. First, analyze the theoretical definitions of the four typical threshold selection rules. Next, design corresponding MATLAB simulation experiments [1] to verify. Finally, we can safely draw the conclusion that for one dimensional voltage signal, adaptive threshold has the best effect in reducing the noise caused by large Gaussian noise, while fixed threshold plays an important role in weak noise. As for the picture, adaptive threshold and mixed threshold denoising reduced the noise obviously.
Keywords
Wavelet Denoising, Threshold Selection Rules, MATLAB Simulation
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