Minimum Description Length Denoising Based on the Improved Normalized Maximum Likelihood

WANG Yanxue XIANG Jiawe JIANG Zhansi DINGYongbi

Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (1) : 137-140.

PDF(1911 KB)
PDF(1911 KB)
Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (1) : 137-140.
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Minimum Description Length Denoising Based on the Improved Normalized Maximum Likelihood

  • WANG Yanxue XIANG Jiawe JIANG Zhansi DINGYongbi

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Abstract

Aiming at defects of different denoising methods, a minimum description length denoising method based on the improved normalized maximum likelihood (INML) was proposed. This method encodes the model class and adding to the original code length and adaptively defines the threshold in signal denoising. Numerical simulation signals and experimental signals of rolling element bearings were used to test and compare the performances of the proposed method with VisuShrink, BayesShrink and RNML etc. The results showed that the INML-based noise cancellation method had more effective denoising performance and higher SNR, not only in eliminating random noise, but in preserving interested components of the signals. INML method enriched the theory of MDL denoising and enhanced its performance.



Key words

Minimum description length / Normalized maximum likelihood / Vibration signal / Denoising / Fault diagnosis

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WANG Yanxue XIANG Jiawe JIANG Zhansi DINGYongbi. Minimum Description Length Denoising Based on the Improved Normalized Maximum Likelihood [J]. Journal of Vibration and Shock, 2014, 33(1): 137-140
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