Smoothing method and device for intrinsic mode function decomposed on the basis of empirical mode decomposition

A technology of empirical mode decomposition and intrinsic mode, which is applied in the smooth field of intrinsic mode function, can solve the problems of reducing signal-to-noise ratio and achieve the effect of improving signal-to-noise ratio, solving roughness, and repairing discontinuous deformation
CN108470018AInactive Publication Date: 2018-08-31CHINA ACADEMY OF RAILWAY SCI CORP LTD +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA ACADEMY OF RAILWAY SCI CORP LTD
Publication Date
2018-08-31
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a smoothing method and device for an intrinsic mode function decomposed on the basis of empirical mode decomposition. The method comprises the following steps that: carrying outband-pass filtering on an IMF (Intrinsic Mode Function) component signal obtained by decomposition on the basis of an EMD (Empirical Mode Decomposition) method to obtain a reference signal; regulating a wavelet packet filtering parameter, and carrying out adaptive wavelet packet filtering on the IMF component signal to obtain the filtered IMF component signal; and calculating the correlation coefficient of the reference signal and the filtered IMF component signal, and taking the filtered IMF component signal obtained by the wavelet packet filtering parameter corresponding to a maximum correlation coefficient as a smoothing processing result for the IMF component signal. By use of the method, noise retained in the IMF component signal can be cleared, and the discontinuous deformation, which is caused by a high-frequency intermittent signal, of the low-frequency IMF component signal is repaired.
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Description

technical field

[0001] The present invention relates to the technical field of signal processing, in particular to a method and device for smoothing intrinsic mode functions based on Empirical Mode Decomposition (EMD) decomposition. Background technique

[0002] Hilbert-Huang transform (HHT) is an adaptive time-frequency analysis method developed in recent years to deal with nonlinear and non-stationary signals. It first performs Empirical Mode Decomposition (EMD) decomposition on the signal, and then introduces the instantaneous frequency with the help of Hilbert transform to obtain the energy distribution of the signal on the time-frequency plane, that is, the Hilbert spectrum (Huang, N.E., Z.Shen, and S.R.Long, M.C.Wu, E.H.Shih, Q.Zheng, C.C.Tung, and H.H.Liu,1998:The empirical mode decomposition method and the Hilbert spectrum for non-stationary time series analysis,Proc.Roy.Soc.London,A454,903- 995) (Huang, N.E., Z. Shen, R.S. Long, 1999: A new view of nonlinear water ...

Claims

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