Title: Improved EMD Algorithm Based on Standardized Auto-covariance Correlation Function
Abstract: In order to solve the problem of end effect in EMD,a standardized covariance window function improved algorithm is proposed.A standardized self-covariance correlation function is used for the similarity criterion of the internal signal to find the endpoint waveform which is the smallest amplitude difference waveforms for data extension,instead of this segmentation waveform to produce the end effect to iterate the envelope.In order to reduce the decomposition error,the analyzed signal is preprocessed by multiplying with the defined window,and the EMD method is used to analyze the preprocessed signal.Simulation and experimental results show that the algorithm can effectively restrain the end effect.The algorithm is simple and easy to implement compared with several other common algorithm.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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