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: - n : input int
- kernel_func : call-back function
Returns: - omega : rank-1 array(‘d’) with bounds (n)
Other Parameters: - d : input int, optional
Default: 0
- kernel_func_extra_args : input tuple, optional
Default: ()
- zero_nyquist : input 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