Generate noise using Box muller meathod
Show older comments
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.
Accepted Answer
More Answers (1)
Peter Perkins
on 8 Jun 2012
0 votes
Is there some reason why you are not using the randn function?
1 Comment
Ronak Sakaria
on 8 Jun 2012
Categories
Find more on QPSK in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!