Title: Research on EMD Denoising Method Based on the Correlation Degree and Its Use in the Signal Processing for Rolling Mill's Signal
Abstract: Based on the idea of the correlation degree and the EMD(Empirical Mode Decompositon) time scale filtering,the EMD de-noising method based on the correlation degree is proposed.Firstly,the EMD decomposition is carried on to the signal which has noise for obtaining each IMF(Intrinsic Mode Function) component of the signal.Then,according to the established threshold value function of the correlation degree,the values of correlation degree for every component are calculated.After comparing them to the predetermined threshold value,the IMF components which are satisfied for the request of threshold value are obtained.Then the denoised signal is obtained by signal reconfiguration.This method eliminates the limit that the EMD time scale filtering is not suitable in the condition of the noise and the signal which mixed in the IMF ingredient.Through the denoising simulation research to the stationary and nonstationary signals which have noise,the validity of this method is proved;the example analysis of steel rolling signal shows the reliability of the method.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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Cited By Count: 1
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