Abstract
The conventional Empirical mode decomposition (EMD) method uses envelope mean interpolated by cubic spline fitting, which is sensitive to extrema. An efficient method for finding the local mean is generated by using support vector regression machines. The analysis results indicate that the proposed algorithm has higher performance in the ability of frequency separation, insensitive to the sampling frequency and can eliminate mode mixing in small-amplitude sine waves intermittence.KeywordsEmpirical Mode DecompositionSupport Vector Regression MachinesMode MixingLocal MeanHilbert-Huang Transform
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