calculfirlms.m

来自「Signature estimation using LMS algorith 」· M 代码 · 共 22 行

function [prb1] = calculFIR2(snr_in_dB,h,W,B)
E = 1; err_MMSE = [];err_MF = [];
SNR = 10^(snr_in_dB/10);         % signal to noise ratio
sgma = (E/sqrt(2*SNR));
w1 = W(:,1);
w2 = W(:,2);
w3 = W(:,3);
w4 = W(:,4);
signat = 0.5*hadamard(4);% sigma, standard deviation of noise
N = 1000;
for i = 1:N
    r = signat*B(:,i) + sgma*(randn(4,1)); 
    MMSE = W'*r;
    decision2 = decide(MMSE);
    err_MMSE(i) = calculerr(decision2,B(:,i));
    %MF = signat'*r;
    %decision = decide(MF);
    %err_MF(i) = calculerr(decision,B(:,i));
    
end
%prb = mean(err_MF);
prb1 =mean(err_MMSE);