% method of class @signal
%
% INPUT VALUES:
%
% RETURN VALUE:
%
%
% (c) 2003, University of Cambridge, Medical Research Council
% Stefan Bleeck (stefan@bleeck.de)
% http://www.mrc-cbu.cam.ac.uk/cnbh/aimmanual
% $Date: 2003/01/17 16:57:43 $
% $Revision: 1.3 $
function sources=getsourceestimate(sig,sigma)
% usage: sources=getsourceestimate(sig,sigma))
% returns a struct of sources.position and sources.height
% for each maximum in the signal sig.
% it is assumed, that each maximum contributes to the signal with
% a gaussian kernel of the width "sigma"
grafix=0; % debug
% nrchannels=getnrchannels(cframe);
% smoothwidth=nrchannels/64;
% fresumme=smooth(fresumme,smoothwidth);
finished=0; % it can be finished by:
% a) after 5 Maxima
% b) the signal is below 30 % of original
how_many_max_maximal=5;
threshold_criterion=0.3;
if nargin < 2
% wie breit jedes Maximum angenommen wird
sigma=3; % this is in the sr of the singal
end
current_max=1;
start_max_hight=max(sig); % so hoch im Moment
if grafix
plot(sig);
hold on;
a=axis;
a(3)=-start_max_hight*1.1;
a(4)=start_max_hight*1.1;
axis(a);
end
cols=['b';'g';'k';'y';'b';'g';'k']; % verschiedene Farben fr die unterschiedlichen Dominanzregionen
while ~finished
[maxpos,minpos,maxs,mins]=getminmax(sig);
[maxmaxhight,maxmaxpos]=max(sig);
gauss=signal(sig);
gauss=generategauss(gauss,maxmaxpos,maxmaxhight,sigma);
sig=sig-gauss;
sources{current_max}.position=maxmaxpos;
sources{current_max}.height=maxmaxhight;
sources{current_max}.sigma=sigma;
if grafix
cur_col=cols(mod(current_max,7)+1,:);
plot(sig,cur_col);
axis(a);
plot(maxmaxpos,maxmaxhight,'r.','MarkerSize',20);
end
current_max_hight=max(sig); % so hoch im Moment
if current_max_hight <= start_max_hight*threshold_criterion
finished=1;
end
current_max=current_max+1;
if current_max>how_many_max_maximal
finished=1;
end
end
if grafix
plot(sig,'r');
axis(a);
end
return