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]); f = linspace(-0.5,0.5,N); subplot(212); plot(f,abs(fftshift(fft(noise))).^2); | ![]() | ![]() |