Is there an equivalent for the Python FFt function fftconvolve(in1, in2) from the scipy library?
I need this for 2 equal sized 2D arrays.
Unfortunately I couldn't find anything suitable.
Here is the function description from the Python library
"""Convolve two N-dimensional arrays using FFT.
Convolve `in1` and `in2` using the fast Fourier transform method, with
the output size determined by the `mode` argument.
This is generally much faster than `convolve` for large arrays (n > ~500),
but can be slower when only a few output values are needed, and can only
output float arrays (int or object array inputs will be cast to float).
As of v0.19, `convolve` automatically chooses this method or the direct
method based on an estimation of which is faster.
Parameters
----------
in1 : array_like
First input.
in2 : array_like
Second input. Should have the same number of dimensions as `in1`.
Returns
-------
out : array
An N-dimensional array containing a subset of the discrete linear
convolution of `in1` with `in2`.
Is there an equivalent for the Python FFt function fftconvolve(in1, in2) from the scipy library? I need this for 2 equal sized 2D arrays. Unfortunately I couldn't find anything suitable.
Here is the function description from the Python library