colour.kernel_sinc#

colour.kernel_sinc(x: ArrayLike, a: float = 3) numpy.ndarray[source]#

Return the sinc kernel evaluated at given samples.

Parameters
  • x (ArrayLike) – Samples at which to evaluate the sinc kernel.

  • a (float) – Size of the sinc kernel.

Returns

The sinc kernel evaluated at given samples.

Return type

numpy.ndarray

References

[BB09]

Examples

>>> kernel_sinc(np.linspace(0, 1, 10))  
array([  1.0000000...e+00,   9.7981553...e-01,   9.2072542...e-01,
         8.2699334...e-01,   7.0531659...e-01,   5.6425327...e-01,
         4.1349667...e-01,   2.6306440...e-01,   1.2247694...e-01,
         3.8981718...e-17])