lx_rls_eq.m

自己编的基于最抖下降法

data_len=1000;
repeat=200;
lamta=1;
var_v=0.001;
delta=0.004;
rou=2.9;
p=11;
tao=5;


for n=1:3
    h(n)=0.5*(1+cos(2*pi*(n-2)/rou));
end

win_time=data_len-1-p;
A=zeros(repeat,win_time);
E=zeros(repeat,win_time);
Wx=zeros(p,win_time);
for time=1:repeat
    xs = [2*(rand(data_len, 1) > 0.5) - 1];
    x=conv(xs,h);
    x=x((length(h)+1):length(x));
    xn=x+sqrt(var_v)*randn(length(xn),1);
    xn=xn(:);
    n=length(xn);
    k=n-p;
    x1-zeros(k,p)