generate i.i.d complex gaussian samples with mean S and variance V

I want to generate iid samples which have distribution complex gaussian with some non-zero mean, say, S and variance V which is not unity. Can someone please guide me with this problem?

Answer 1

[Matt J]

mvnrnd(S,V,n)

[Shailee Yagnik]

Doesnt that give just real gaussian random numbers and not complex gaussian?

[Matt J]

I don't think so.

[Shailee Yagnik]

It doesnt really produce the complex numbers, can you guide me what I am missing here?

[Matt J]

It does for me,

mvnrnd(1i*[1;2;3],diag([4,5,6]),10)

ans = 10×3

0.7600 - 1.0000i 2.3584 - 2.0000i -2.5902 - 3.0000i -0.2108 - 1.0000i -2.2259 - 2.0000i -2.5968 - 3.0000i -2.0674 - 1.0000i 0.2097 - 2.0000i -0.7834 - 3.0000i -2.0587 - 1.0000i 3.3948 - 2.0000i -1.9422 - 3.0000i 1.2686 - 1.0000i -0.9856 - 2.0000i -4.2169 - 3.0000i -2.2509 - 1.0000i 1.1230 - 2.0000i 0.5488 - 3.0000i 0.9692 - 1.0000i 0.1214 - 2.0000i -2.7198 - 3.0000i 1.6355 - 1.0000i 3.3918 - 2.0000i -1.8752 - 3.0000i -1.8507 - 1.0000i -3.8470 - 2.0000i -0.0787 - 3.0000i -0.6912 - 1.0000i 0.7485 - 2.0000i -0.8738 - 3.0000i

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