What are the other meathod for generating Guassian Noise?
I wrote code for Box muller like:
noise = rand(2,length(data));
AWGN_noise = zeros(1,length(data));
for i1=1:length(data)
AWGN_noise(i1) = sigma_noise * sqrt(-2*log(noise(1,i1)))*cos(2*pi*noise(2,i1));end
The thing is that I'm not getting much variance in values after Box Muller Transformation. Suggest me some good code to generate guassian noise.
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