% Demonstration of LMS algorithm for noise cancellation. Tuner upper problem.
% Rich Kozick, Spring 1997
% Rob Frohne's modifications for Macintosh 2000
% and Linux 2006 or so.
clear all
Fs=8000; % 8 Khz sampling for Linux.
T0 = 2; % 2 seconds
system("espeak 'After hitting enter in the command window, speak the signal.'");
st = record(T0,Fs);
%st=wavread('Hello.wav');
st=st(:,1);
system("espeak 'Here is the signal.'")
soundsc(st);
Ls = length(st);
T0=length(st)/Fs;
% Make the tuner upper noise or even several at the same time.
t=0:1/Fs:T0-1/Fs;
n = 10*(sin(2*pi*100*pi*t) + cos(2*pi*600*t) + 1.5*sin(2*pi*850*t));
% Add him or them to the desired signal.
x = st' + n;
system("espeak 'Here is the noisy signal.'")
soundsc(x,Fs);
N = 64; % Length of adaptive filter
% LMS algorithm for adaptive noise cancellation
h = ones(N,1);
mu = 0.1;
for k=N:Ls
xk = x(k:-1:(k-N+1));
y(k) = h'*xk';
e(k) = y(k);
h = h - 2*mu*e(k)*xk'/(xk*xk');
end
% The signal estimate is in the vector e
system("espeak 'Here is a scaled version of the tail of the cleaned signal.'");
skip =1000;
soundsc(e(skip:length(e)),Fs);