cupyx.signal.convolve1d3o#

cupyx.signal.convolve1d3o(in1, in2, mode='valid', method='direct')[source]#

Convolve a 1-dimensional array with a 3rd order filter. This results in a third order convolution.

Convolve in1 and in2, with the output size determined by the mode argument.

Parameters:

in1 (array_like) – First input. Should have one dimension.
in2 (array_like) – Second input. Should have three dimensions.
mode (str {'full', 'valid', 'same'}, optional) –
A string indicating the size of the output:

full
The output is the full discrete linear convolution of the inputs. (Default)

valid
The output consists only of those elements that do not rely on the zero-padding. In ‘valid’ mode, either in1 or in2 must be at least as large as the other in every dimension.

same
The output is the same size as in1, centered with respect to the ‘full’ output.
method (str {'auto', 'direct', 'fft'}, optional) –
A string indicating which method to use to calculate the convolution.

direct
The convolution is determined directly from sums, the definition of convolution.

fft
The Fourier Transform is used to perform the convolution by calling fftconvolve.

auto
Automatically chooses direct or Fourier method based on an estimate of which is faster (default).

Returns:

out – A 1-dimensional array containing a subset of the discrete linear convolution of in1 with in2.

Return type:

ndarray