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代码片段和文件信息
% EMD.M
%
% G. Rilling July 2002
%
% computes EMD (Empirical Mode Decomposition) according to:
%
% 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
%
% with variations reported in:
%
% G. Rilling P. Flandrin and P. Gon鏰lv鑣
% “On Empirical Mode Decomposition and its algorithms“
% IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing
% NSIP-03 Grado (I) June 2003
%
% stopping criterion for sifting :
% at each point : mean amplitude < threshold2*envelope amplitude
% &
% mean of boolean array ((mean amplitude)/(envelope amplitude) > threshold) < tolerance
% &
% |#zeros-#extrema|<=1
%
% inputs: - x : analysed signal (line vector)
% - t (optional) : sampling times (line vector) (default : 1:length(x))
% - stop (optional) : threshold threshold2 and tolerance (optional)
% for sifting stopping criterion
% default : [0.050.50.05]
% - tst (optional) : if equals to 1 shows sifting steps with pause
% if equals to 2 no pause
%
% outputs: - imf : intrinsic mode functions (last line = residual)
% - ort : index of orthogonality
% - nbits : number of iterations for each mode
%
% calls: - extr (finds extrema and zero-crossings)
% - io : computes the index of orthogonality
function [imfortnbits] = emd(xtstoptst)
% default for stopping
defstop = [0.050.50.05];
if(nargin==1)
t = 1:length(x);
stop = defstop;
tst = 0;
end
if(nargin==2)
stop = defstop;
tst = 0;
end
if (nargin==3)
tst=0;
end
S = size(x);
if ((S(1) > 1) & (S(2) > 1)) | (length(S) > 2)
error(‘x must have only one row or one column‘)
end
if S(1) > 1
x = x‘;
end
S = size(t);
if ((S(1) > 1) & (S(2) > 1)) | (length(S) > 2)
error(‘t must have only one row or one column‘)
end
if S(1) > 1
t = t‘;
end
if (length(t)~=length(x))
error(‘x and t must have the same length‘)
end
S = size(stop);
if ((S(1) > 1) & (S(2) > 1)) | (S(1) > 3) | (S(2) > 3) | (length(S) > 2)
error(‘stop must have only one row or one column of max three elements‘)
end
if S(1) > 1
stop = stop‘;
S = size(stop);
end
if S(2) < 3
stop(3)=defstop(3);
end
if S(2) < 2
stop(2)=defstop(2);
end
sd = stop(1);
sd2 = stop(2);
tol = stop(3);
if tst
figure
end
% maximum number of iterations
MAXITERATIONS=2000;
% maximum number of symmetrized points for interpolations
NBSYM = 2;
lx = length(x);
sdt(lx) = 0;
sdt = sdt+sd;
sd2t(lx) = 0;
sd2t = sd2t+sd2;
% maximum number of extrema and zero-crossings in residual
ner = lx;
nzr = lx;
r = x;
imf = [];
k = 1;
% iterations counter for extraction of 1 mode
nbit=0;
% total iterations counter
NbIt=0;
while ner > 2
% current mode
m = r;
% mode at previous iteration
mp = m;
sx = sd+1;
% tests if enough extrema to proc
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