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Time Frequency Toolbox >> Time Frequency Toolbox > Noise Realizations > noisecg

noisecg

Analytic complex gaussian noise.

Calling Sequence

NOISE=noisecg(N)
NOISE=noisecg(N,A1)
NOISE=noisecg(N,A1,A2)

Parameters

N:

a positive integer: the length of the noise signal.

A1:

a real scalar (see below).

A2:

a real scalar (see below).

NOISE:

a complex column vector of size N: the noise signal.

Description

NOISE=noisecg(N,A1,A2) computes an analytic complex gaussian noise of length N with mean 0.0 and variance 1.0.

NOISE=noisecg(N) yields a complex white gaussian noise.

NOISE=noisecg(N,A1) yields a complex colored gaussian noise obtained by filtering a white gaussian noise through a sqrt(1-A1^2)/(1-A1*z^(-1)) first order filter.

NOISE=noisecg(N,A1,A2) yields a complex colored gaussian noise obtained by filtering a white gaussian noise through a sqrt(1-A1^2-A2^2)/(1-A1*z^(-1)-A2*z^(-2)) second order filter.

Examples

N=512;
noise=noisecg(N);
m=mean(noise),sigma2=sum((noise-m).^2)
clf;
subplot(211); plot(real(noise)); a=gca();
subplot(212); f=linspace(-0.5,0.5,N);plot(f',abs(fftshift(fft(noise))).^2);

See also

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