`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." />`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." /> init_convolution_kernel — SciPy v1.15.3 Manual
scipy.fftpack.convolve.

init_convolution_kernel#

scipy.fftpack.convolve.init_convolution_kernel(n, kernel_func[, d, zero_nyquist, kernel_func_extra_args])#

Wrapper for init_convolution_kernel.

Parameters:
ninput int
kernel_funccall-back function
Returns:
omegarank-1 array(‘d’) with bounds (n)
Other Parameters:
dinput int, optional

Default: 0

kernel_func_extra_argsinput tuple, optional

Default: ()

zero_nyquistinput 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