scipy.fftpack.convolve.init_convolution_kernel¶
-
scipy.fftpack.convolve.
init_convolution_kernel
(n, kernel_func[, d, zero_nyquist, kernel_func_extra_args]) = <fortran object>¶ Wrapper for
init_convolution_kernel
.- Parameters
- ninput int
- kernel_funccall-back function
- Returns
- omegarank-1 array(‘d’) with bounds (n)
- Other Parameters
- dinput int, optional
Default: 0
- kernel_func_extra_argsinput tuple, optional
Default: ()
- zero_nyquistinput int, optional
Default: d%2
Notes
Call-back functions:
def kernel_func(k): return kernel_func Required arguments: k : input int Return objects: kernel_func : float