📄 aaftlms.m
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function[A]=aaftlms(x,d,M,I,mu)
%function[A]=aaftlms(x,d,M,I,mu);
wk=zeros(1,M);
for i=0:I %I=number of iterations (or blocks);
if I*M>length(x)-1
('error:I*M>length(x)-1')
end;
%M=number of filter coefficients;
x1=x(M*(i+1):-1:i*M+1);
d1=d(M*(i+1):-1:i*M+1);
xk=fft(x1);
dk=fft(d1);
yk=wk.*xk;
ek=dk-yk;
wk=wk+2*mu*ek.*conj(xk);
A(i+1,:)=wk;
end;
%all the rows of A are the wk's at an increase order
%of iterations(blocks);
%to filter the data, wk must be inverted in the time
%domain, convolve with the data x and then plot the
%real part of the output y, e.g. wn4=the forth iteration
%=ifft(A(4,:)),yn4=filter(wn4/M,1,x) for even M;
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