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

Volume 14, Number 9, September 2018, pp. 2239-2247
DOI: 10.23940/ijpe.18.09.p33.22392247

Xin Wanga, Xi Panga, and Yuxi Wangb

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

(Submitted on June 17, 2018; Revised on July 2, 2018; Accepted on August 11, 2018)


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.


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