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:

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

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