step4.m

f-xlms算法程序 非常有用的消噪用的程序

delayW = 15;
[B,A] = cheby2(5,20,[0.05 0.2]);
Hd2 = dfilt.df2t(B,A);
G = filter(Hd2,[zeros(1,delayW) log(0.99*rand(1,N-delayW)+0.01).*sign(randn(1,N-delayW)).*exp(-0.01*(1:N-delayW))]);
G = G/norm(G);
plot(t,G,'b');
xlabel('Time [sec]');
ylabel('Coefficient value');
title('Primary Path Impulse Response');