statsmodels.tsa.filters.filtertools.fftconvolveinv#
- statsmodels.tsa.filters.filtertools.fftconvolveinv(in1, in2, mode='full')[source]#
Convolve two N-dimensional arrays using FFT. See convolve
- Parameters:
- in1array_like
First input array.
- in2array_like
Second input array, used as the inverse filter.
- mode
str,optional Convolution mode, one of ‘full’, ‘same’, or ‘valid’.
- Returns:
ndarrayThe convolved array.
Notes
copied from scipy.signal.signaltools, but here used to try out inverse filter. does not work or I cannot get it to work
2010-10-23: looks ok to me for 1d, from results below with padded data array (fftp) but it does not work for multidimensional inverse filter (fftn) original signal.fftconvolve also uses fftn