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Alex Rivera
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I have two 2-D arrays with the same first axis dimensions. In python, I would like to convolve the two matrices along the second axis only. I would like to get C below without computing the convolution along the first axis as well. import numpy as np import scipy.signal as sg M, N, P = 4, 10, 20 A = np.random.randn(M, N) B = np.random.randn(M, P) C = sg.convolve(A, B, 'full')[(2*M-1)/2] Is there a fast way?
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