Optimized VMD-Wavelet Packet Threshold Denoising based on Cross-Correlation Analysis

doi:10.23940/ijpe.18.09.p33.22392247

Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (9): 2239-2247.doi: 10.23940/ijpe.18.09.p33.22392247

Optimized VMD-Wavelet Packet Threshold Denoising based on Cross-Correlation Analysis

Xin Wang^{a, *}, Xi Pang^a, and Yuxi Wang^b

^aSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China;
^bHenan Jinghui Technology Co. Ltd, Zhengzhou, 450002, China

Revised on ; Accepted on
Contact: * E-mail address: wangxin@hpu.edu.cn.

Abstract

Abstract: To address the problem that wavelet packet denoising is unable to process signals with strong white noise, an optimized VMD-wavelet packet threshold denoising method based on cross-correlation analysis is proposed. This method combines the advantages of VMD and wavelet packet denoising. By decomposing the noisy signal into several modal components using VMD, the excellent modal components are selected from all modal components according to the cross-correlation analysis based critical correlation coefficient. After that, these excellent modal components are processed using the wavelet packet threshold denoising method. Experimental results show that the proposed method has the advantage of denoising signal with strong white noise, which preserves the effective components of signal, overcomes the blindness of traditional VMD denoising methods and ensures the authenticity of the denoised signal.

Key words: wavelet packet denoising, variational mode decomposition (vmd), excellent modal component, cross-correlation analysis

Xin Wang, Xi Pang, and Yuxi Wang. Optimized VMD-Wavelet Packet Threshold Denoising based on Cross-Correlation Analysis [J]. Int J Performability Eng, 2018, 14(9): 2239-2247.

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Optimized VMD-Wavelet Packet Threshold Denoising based on Cross-Correlation Analysis

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