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complex Gaussian noise signals with zero mean and different variance?

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zayed
zayed 2012-1-2
评论： Srikanth V 2019-1-30
Hi;
I need to generate in matlab complex Gaussian noise signals with zero mean and different typical values of variance .

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Andrew Newell
Andrew Newell 2012-1-2
Assuming your signals are not correlated, you could do it with
cgnoise = std1*randn(n,1) + i*std2*randn(n,1);
where std1 and std2 are the standard deviations.
(Edited to correct errors)
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Sarah Crimi
Sarah Crimi 2019-1-11
编辑：Sarah Crimi 2019-1-11
I am not sure about the std1 vs std2 but, it should be cgnoise(ii) in the loop so that it obtains a value for each ii.
for ii=1:n
cgnoise(ii) = std1*randn + i*std2*rand;
end
Srikanth V
Srikanth V 2019-1-30
Does not make sense to have diff std_dev for real and imag..if you want snr controlled noise.,
var = (N different var);
for lp_var=1 : size(var,2)
noise_lvl(lp_var) = sqrt(lp_var)*complex(rand(1,sig_len),rand(1,sig_len));
end

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