Matlab - creating Gaussian noise

[fizzziks]

Does anyone know how to create a matrix of complex Gaussian noise (with unit power = 1 and mean of zero)? I need to define a test sample for my algorithm, but I'm stuck at defining my test bench.

Any help would be appreciated, thanks!

 

[farful]

A = randn(n,n)
B = randn(n,n)
C = A + j*B

 

[oswaler]

There are a few ways you can create a matrix of complex Gaussian noise in Matlab with the desired properties of unit power and mean of zero. One approach is to use the built-in function `randn` to generate a matrix of normally distributed random numbers with a mean of zero and a standard deviation of 1. You can then convert these numbers to complex values using the `complex` function and multiply by a scaling factor to achieve the desired unit power. Another approach is to use the `wgn` function to generate complex white Gaussian noise with a specified power level and then adjust the mean to zero using the `center` option. I would recommend looking into these functions and playing around with their parameters to see which approach works best for your specific needs. Additionally, there are many online resources and forums where you can find more specific examples and code snippets for creating complex Gaussian noise in Matlab. I hope this helps and good luck with your algorithm testing!