4 ms·
Although the author couldn't do it, the problem is obviously solvable, and not even that difficult. Theory: https://rjav.sra.ro/index.php/rjav/article/view/40/
by anon_123g987 5y ago
Although the author couldn't do it, the problem is obviously solvable, and not even that difficult.
Theory: https://rjav.sra.ro/index.php/rjav/article/view/40/29 https://rjav.sra.ro/index.php/rjav/article/view/40/29 [PDF]
Matlab code (under the Functions tab): https://www.mathworks.com/matlabcentral/fileexchange/42919-pink-red-blue-and-violet-noise-generation-with-matlab https://www.mathworks.com/matlabcentral/fileexchange/42919-p...
This is for the 1D case, but since the Fourier transform is separable, it works identically in 2 (and any N) dimensions by performing the transform sequentially in every dimensions.
- lapinot 5y agoYou're pointing to something saying that power-law distributed noise can be generated by filtering white noise (and doing the filtering in the frequency domain, but that's really an implementation detail). OP actually wants to only do the inverse transform, generating the noise in the frequency domain already.
- anon_123g987 5y agoThe Fourier transform of white noise is white noise, so that doesn't matter.
- ssfrr 5y agoDoes that approach end up with a uniform distribution if values in the time domain? That seemed like the difficult part here.