- cupyx.scipy.signal.sepfir2d(input, hrow, hcol)[source]#
Convolve with a 2-D separable FIR filter.
Convolve the rank-2 input array with the separable filter defined by the rank-1 arrays hrow, and hcol. Mirror symmetric boundary conditions are assumed. This function can be used to find an image given its B-spline representation.
The arguments hrow and hcol must be 1-dimensional and of off length.
input (cupy.ndarray) – The input signal
hrow (cupy.ndarray) – Row direction filter
hcol (cupy.ndarray) – Column direction filter
The filtered signal
- Return type