git-svn-id: http://moon:8086/svn/matlab/trunk@153 801c6759-fa7c-4059-a304-17956f83a07c
This commit is contained in:
2021-03-22 20:28:22 +00:00
parent 1b5742e13e
commit b31f3e7435
140 changed files with 6054 additions and 0 deletions
Executable
+51
View File
@@ -0,0 +1,51 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% Normalized LMS Algorithm %
% %
% Written By: Sundar Sankaran and A. A. (Louis) Beex %
% DSP Research Laboratory %
% Dept. of Electrical and Comp. Engg %
% Virginia Tech %
% Blacksburg VA 24061-0111 %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
randn('seed', 0) ;
rand('seed', 0) ;
NoOfData = 8000 ; % Set no of data points used for training
Order = 32 ; % Set the adaptive filter order
Mu = 1.0 ; % Set the step-size constant
x = randn(NoOfData, 1) ;% Input assumed to be white
h = rand(Order, 1) ; % System picked randomly
d = filter(h, 1, x) ; % Generate output (desired signal)
% Initialize NLMS
w = zeros(Order,1) ;
% NLMS Adaptation
for n = Order : NoOfData
D = x(n:-1:n-Order+1) ;
d_hat(n) = w'*D ;
e(n) = d(n) - d_hat(n) ;
w = w + Mu*e(n)*D/(D'*D) ;
w_err(n) = norm(h - w) ;
end ;
% Plot results
figure ;
plot(20*log10(abs(e))) ;
title('Learning Curve') ;
xlabel('Iteration Number') ;
ylabel('Output Estimation Error in dB') ;
figure ;
semilogy(w_err) ;
title('Weight Estimation Error') ;
xlabel('Iteration Number') ;
ylabel('Weight Error in dB') ;