No BSD License
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kernelg(X1,X2,s)
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kwiener_predict(ninput,X,Y,kc...
FUNCTION pimage = kwiener_predict(ninput,X,Y,kcoeff,param)
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kwiener_train(X,Y,s)
FUNCTION kcoeff = kwiener_train(X,Y,param)
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mycol2im(v,par1, par2)
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demo_kwiener.m
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from
Kernel Wiener Filter (Kernel Dependency Estimation)
by Makoto Yamada
The kernel Wiener Filter (kernel Dependency Estimation) algorithm in MATLAB.
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| mycol2im(v,par1, par2)
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function A = mycol2im(v,par1, par2)
% FUNCTION K = mycol2im(v,par1,par2)
% AUTHOR: Makoto Yamada
% (myamada@ism.ac.jp)
% DATE: 02/16/08
%
% DESCRIPTION:
%
% This function is for converting 1D signal to 2D signal.
%
count = 1;
A =zeros(par2(1), par2(2));
for ii = 1:par2(1)
for jj = 1:par2(2)
A(jj,ii) = v(count);
count = count + 1;
end
end
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