Title: A self-adaptive triangular waveform matching extension algorithm for EMD
Abstract: Considering waveform matching extension is an effective method to improve the end effect of empirical mode decomposition( EMD). Aiming at deficiencies of existing matching extension methods,a self-adaptive triangular waveform matching extension method was proposed for EMD here. With this method,both the matching level algorithm of triangular waveform and the searching algorithm for optimal triangular waveform were improved. Using the new matching level algorithm not only promoted the extension's smoothness but also enhanced the relationship between the data near the end-point and the waveform inside. The new searching algorithm was used to search for an intercepting instant to cut out the local optimal wavelet in each wave band corresponding to the fixed extreme value point,and then to search for the global optimal wavelet in local optimal wavelets. The simulated signals and experimental signal analyses showed that the proposed method can effectively mitigate the end effects of EMD and significantly improve the precision of decomposition.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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Cited By Count: 1
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