noisecut.m

matlab时频工具箱

%function noisecut
%NOISECUT Unit test for the function NOISECU.

%	O. Lemoine - May 1996.

N=32768;
sig=noisecu(N);

% Mean
Mean=mean(sig);
if abs(Mean)>10/sqrt(N),
 error('noisecu test 1 failed');
end


% Variance
Var=std(sig).^2;
if abs(Var-1)>10/sqrt(N),
 error('noisecu test 2 failed');
end


% histogram
sig=noisecu(N);
Nh=100;
h=hist(real(sig),Nh); h=h/mean(h);
pdf=ones(1,Nh);
if any(abs(h-pdf).^2>10/sqrt(N)),
 error('noisecu test 3 failed');
end


% For N=1 
N=1; Np=10000;
for k=1:Np,
 sig(k)=noisecu(N);
end
Mean=mean(sig);
if abs(Mean)>10/sqrt(Np),
 error('noisecu test 4 failed');
end
Var=std(sig).^2;
if abs(Var-1)>10/sqrt(Np),
 error('noisecu test 5 failed');
end
h=hist(real(sig),Nh); h=h/mean(h);
if any(abs(h-pdf).^2>10/sqrt(Np)),
 error('noisecu test 6 failed');
end


% For N=2
N=2;
for k=1:2:(Np-1),
 noise=noisecu(N);
 sig(k)=noise(1);
 sig(k+1)=noise(2);
end
Mean=mean(sig);
if abs(Mean)>10/sqrt(Np),
 error('noisecu test 7 failed');
end
Var=std(sig).^2;
if abs(Var-1)>10/sqrt(Np),
 error('noisecu test 8 failed');
end
h=hist(real(sig),Nh); h=h/mean(h);
if any(abs(h-pdf).^2>10/sqrt(Np)),
 error('noisecu test 9 failed');
end