Generate Gassian Colored Noise

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S. David
S. David el 23 de Mayo de 2014
Editada: S. David el 24 de Mayo de 2014
Hello all,
Is there any built-in function in MATLAB to generate a Gaussian noise with a specific covariance matrix R (colored noise), not necessarily the identity matrix (white noise)?
Thanks

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Matt J
Matt J el 23 de Mayo de 2014
Editada: Matt J el 23 de Mayo de 2014
There's MVRND, if you have the Stats Toolbox.
Otherwise, you can just do
sqrtm(R)*randn(size(R,2),1);
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Matt J
Matt J el 24 de Mayo de 2014
Editada: Matt J el 24 de Mayo de 2014
If R is close to singular, it can be mis-perceived as having some negative eigenvalues (and hence as not being psd) due to numerical imprecision.
However, if your R is close to singular, it really means you're taking the covariance of have some redundant variables - some of them are approximately linear combinations of the others - and should get rid of them.
S. David
S. David el 24 de Mayo de 2014
Editada: S. David el 24 de Mayo de 2014
I have two matrices, and I found the eigenvalue of both of them: one of them has all positive eigenvalues, but the other has some negative eigenvalues. I guess the second one is close to singular as you said. But even when I try the first one in mvrand(Mu,Sigma), I still get the same error.
For the matrix with negative eigenvalues, how to eliminate the redundant variables?

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