convolve

convolve(a, v)

Like numpy.convolve(), but always returns an array the size of the first array (equivalent to mode=’same’), and solves the boundary problem present in numpy.convolve() by adjusting the edges by the weight of the convolution kernel.

Parameters:

• a (arr) – the input array

• v (arr) – the convolution kernel

Example:

a = np.ones(5)
v = np.array([0.3, 0.5, 0.2])
c1 = np.convolve(a, v, mode='same') # Returns array([0.8, 1.  , 1.  , 1.  , 0.7])
c2 = sc.convolve(a, v)              # Returns array([1., 1., 1., 1., 1.])

New in version 1.3.0.

New in version 1.3.1: handling the case where len(a) < len(v)