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