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# 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