scipy.signal.convolve(in1, in2, mode='full', old_behavior=True)

Convolve two N-dimensional arrays.

Convolve in1 and in2 with output size determined by mode.

Parameters :

in1: array :

first input.

in2: array :

second input. Should have the same number of dimensions as in1.

mode: str {‘valid’, ‘same’, ‘full’} :

a string indicating the size of the output:

valid : the output consists only of those elements that do not

rely on the zero-padding.

same : the output is the same size as the largest input centered

with respect to the ‘full’ output.

full : the output is the full discrete linear cross-correlation

of the inputs. (Default)

Returns :

out: array :

an N-dimensional array containing a subset of the discrete linear cross-correlation of in1 with in2.

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