SciPy

scipy.fftpack.convolve.init_convolution_kernel

scipy.fftpack.convolve.init_convolution_kernel = <fortran object>
init_convolution_kernel - Function signature:
omega = init_convolution_kernel(n,kernel_func,[d,zero_nyquist,kernel_func_extra_args])
Required arguments:
n : input int kernel_func : call-back function
Optional arguments:
d := 0 input int kernel_func_extra_args := () input tuple zero_nyquist := d%2 input int
Return objects:
omega : rank-1 array(‘d’) with bounds (n)
Call-back functions:

def kernel_func(k): return kernel_func Required arguments:

k : input int
Return objects:
kernel_func : float