Analytic complex uniform white noise.
NOISE=noisecu(N)
a positive integer: the length of the noise signal.
a complex column vector of size N: the noise signal.
noisecu computes an analytic complex white uniform noise of length N with mean 0.0 and variance 1.0.
N=512;noise=noisecu(N); m=mean(noise),sigma2=sum((noise-m).^2) subplot(211); plot(real(noise)); a=gca();a.data_bounds=([1 N -1.5 1.5]); subplot(212); f=linspace(-0.5,0.5,N); plot(f,abs(fftshift(fft(noise))).^2); | ![]() | ![]() |