📄 correlate.m
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function c = correlate(a,b,bool)
% Function computes the correlation of the two input vectors/matrices
% (if one of the inputs is a matrix, the other must either
% be a vector or a matrix with the same number of columns).
% c(k)=sum(a(i+k)*b(k))
% The number of rows of c is the number of rows of a
% plus the number of rows of b minus 1.
% Last updated: November 28, 2004
%
% c = correlate(a,b,bool)
% INPUT
% a matrix
% b matrix
% bool boolean variable; if true the mean is removed from all columns prior to correlation
% default: bool=logical(0)
% OUTPUT
[na,ma]=size(a);
[nb,mb]=size(b);
if nargin > 2
if bool
a=rm_mean(a);
b=flipud(rm_mean(b));
else
b=flipud(b);
end
else
b=flipud(b);
end
if ma == 1
if mb == 1
c=conv(a,b);
else
c=zeros(na+nb-1,mb);
for i=1:mb
c(1:na+nb-1,i)=conv(a,b(:,i));
end
end
elseif mb == 1
c=zeros(na+nb-1,ma);
for i=1:ma
c(1:na+nb-1,i)=conv(a(:,i),b);
end
elseif ma ~= mb
ERROR = 'Input data are not compatible'
else
c=zeros(na+nb-1,ma);
for i=1:ma
c(1:na+nb-1,i)=conv(a(:,i),b(:,i));
end
end
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