Overlappling group thresholding denoising method based on dual-tree complex wavelet packet transform

被引：0
|
作者：
Wu D.-H. [1 ]
Zhang P.-L. [1 ]
Yang W.-C. [1 ]
Qi Y.-G. [1 ]
机构：
[1] Department of Vehicle and Electrical Engineering, Ordnance Engineering College, Shijiazhuang
来源：
| 1600年 / Chinese Vibration Engineering Society卷 / 35期
关键词：
Block threshloding; Condition monitoring; Denoising; Dual-tree complex wavelet transform; Machinery vibration;
D O I：
10.13465/j.cnki.jvs.2016.10.026
中图分类号：
学科分类号：
摘要：
In order to solve the problem that the early mechanical fault characteristics are usually indistinct due to strong background noise, an overlappling group thresholding denoising method based on dual-tree complex wavelet packet transform was proposed. The signal was sparsely decomposed by using the dual-tree complex wavelet packet which has the characteristic of shift-invariant and limited redundancy. The overlappling group thresholding denoising method based on dual-tree complex wavelet packet transform was developed which can capture the neighborhood correlation and large-amplitude coefficients form clusters, and a denoising model was built based on the minimization of a convex cost function incorporating with a mixed norm. Then the parameters optimization of the denoising model was discussed. The simulation and experimental results show that the noise reduction effect of the presented method is satisfactory for different signals with different level of noise, the background noise is restrained effectively and the signal noise ratio can be well improved. © 2016, Chinese Vibration Engineering Society. All right reserved.
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页码：162 / 166
页数：4
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