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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