A False Component Identification Method of EMD Based on Kullback-leibler Divergence

Empirical mode decomposition (EMD) has been widely used in many nonlinear fields for its adaptive filtering properties and adaptive multiresolution, but there will be false components in the decomposition process. To solve this problem, a method of the false components identification of EMD based on Kullback-Leibler divergence was proposed. First, the original signal was decomposed into several intrinsic mode functions (imf); then the Kullback-Leibler divergence value between the original signal and each imf was calculated; finally the values were put in order. The imf, which corresponds to the big value, was regarded as a false component and can be removed. The experiment shows that this method can clearly distinguish the real components and the false ones, thus correctly and rapidly obtain the real composition of the signal and eliminate the influence of false components.