📄 noisecu.m
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function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Examples :
% N=512;noise=noisecu(N);mean(noise),std(noise).^2
% subplot(211); plot(real(noise)); axis([1 N -1.5 1.5]);
% subplot(212); f=linspace(-0.5,0.5,N);
% plot(f,abs(fftshift(fft(noise))).^2);
%
% See also RAND, RANDN, NOISECG.
% O. Lemoine, June 95/May 96 - F. Auger, August 95.
% Copyright (c) 1996 by CNRS (France).
%
% ------------------- CONFIDENTIAL PROGRAM --------------------
% This program can not be used without the authorization of its
% author(s). For any comment or bug report, please send e-mail to
% f.auger@ieee.org
if (N <= 0),
error ('The signal length N must be strictly positive' );
end;
%rand('uniform');
if N<=2,
noise=(rand(N,1)-0.5+j*(rand(N,1)-0.5))*sqrt(6);
else
noise=rand(2^nextpow2(N),1)-0.5;
end
if N>2,
noise=hilbert(noise)/std(noise)/sqrt(2);
noise=noise(length(noise)-(N-1:-1:0));
end
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