The EMD computes the distance between two distributions, which are represented by signatures. The signatures are sets of weighted features that capture the distributions. The features can be of any type and in any number of dimensions, and are defin
基于Matlab的一套经验模式分解代码、 % IMF = EMD(X) where X is a real vector computes the Empirical Mode % Decomposition [1] of X, resulting in a matrix IMF containing 1 IMF per row, the % last one being the residue. The default stopping criterion is the one propos
