📄 emdc_fix.m
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%EMDC_FIX computes Empirical Mode Decomposition%%% Syntax%%% [IMF,NB_ITERATIONS]=EMDC_FIX(T,X,NB_ITERATONS,MAX_IMFS);%%% Description%%% computes EMD according to [1] with NB_ITERATONS sifting iterations for each IMF%% mean of boolean array {(mean_amplitude)/(envelope_amplitude) > THRESHOLD} < TOLERANCE% &% |#zeros-#extrema|<=1%% inputs: % - T: sampling times. If T=[], the signal is assumed uniformly sampled.% - X: analyzed signal% - NB_ITERATIONS: number of sifting iterations to be performed to% extract each IMF. If NB_ITERATIONS is empty or unspecified, 10 iterations % are performed by default.% Note: The effective number of sifting iterations might be less % than NB_ITERATIONS for the last modes if the sifting process has % to be stopped because of a lack of extrema.% - MAX_IMFS: maximum number of IMFs to be extracted. If MAX_IMFS is% zero, empty or unspecified, the default behavior is to extract as% many IMFs as possible.% % outputs: % - IMF: intrinsic mode functions (IMFs) (last line = residual)% - NB_ITERATIONS: effective number of sifting iterations for each mode%%% Examples%%% workspace: % T: 1xN time instants% X: 1xN signal data %%>>IMF = EMDC_FIX(T,X);%>>[IMF,NB_IT] = EMDC_FIX([],X);%>>IMF = EMDC_FIX(T,X,0.1);%>>IMF = EMDC_FIX(T,X,[0.1,0.1]);%>>[IMF,NB_IT] = EMDC_FIX([],X,[],4);%%% References%%% [1] N. E. Huang et al., "The empirical mode decomposition and the% Hilbert spectrum for non-linear and non stationary time series analysis",% Proc. Royal Soc. London A, Vol. 454, pp. 903-995, 1998%%% See also% emd_visu (visualization),% emd (slow but has many options),% emdc (fast implementation of EMD with different stopping criterion)% hhspectrum (Hilbert-Huang spectrum)%%% G. Rilling, last modification: 3.2007% gabriel.rilling@ens-lyon.fr%% code based on a student project by T. Boustane and G. Quellec, 11.03.2004% supervised by P. Chainais (ISIMA - LIMOS - Universite Blaise Pascal - Clermont II% email : pchainai@isima.fr).
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