(you can find it under code in the navigation bar). The post is a jupyter notebook which can be found under content/blog
Regarding dummy arrays, you can just generate random arrays of complex values, that should normally not cause issues (although obviously the filter does not converge to anything). The size I used for the demo is (2, 200 000), i.e. 2 polarisations and 100 000 symbols 2 times oversampled
I had the impression that the inputs were one 2D and one 3D array. Are they both complex? Also it seems like they did not have the same sizes, as well as dimensionalities.
Ah yes sorry the filter array (wxy) is a 3d array of shape (2,2,21) initialised to 0 with the wxy[0,0, 21//2]=1 and wxy[1,1,21/2] =1. Which corresponds to a perfect impulse response function and wxy should also be complex (at least in this implementation of the adaptive filter).
(you can find it under code in the navigation bar). The post is a jupyter notebook which can be found under content/blog
Regarding dummy arrays, you can just generate random arrays of complex values, that should normally not cause issues (although obviously the filter does not converge to anything). The size I used for the demo is (2, 200 000), i.e. 2 polarisations and 100 000 symbols 2 times oversampled