kaiser_bessel_derived_window#

ivy.kaiser_bessel_derived_window(window_length, beta=12.0, *, dtype=None, out=None)[source]#

Compute the Kaiser bessel derived window with window length window_length and shape beta.

Parameters:

window_length (int) – an int defining the length of the window.
beta (float, default: 12.0) – a float used as shape parameter for the window.
dtype (Optional[Union[Dtype, NativeDtype]], default: None) – data type of the returned array
out (Optional[Array], default: None) – optional output array, for writing the result to.

Return type:

Array

Returns:

ret – The array containing the window.

Examples

>>> ivy.kaiser_bessel_derived_window(5)
ivy.array([0.00726415, 0.9999736 , 0.9999736 , 0.00726415])

>>> ivy.kaiser_bessel_derived_window(5, 5)
ivy.array([0.18493208, 0.9827513 , 0.9827513 , 0.18493208])

Container.kaiser_bessel_derived_window(self, periodic=True, beta=12.0, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, dtype=None, out=None)[source]#

ivy.Container instance method variant of ivy.kaiser_bessel_derived_window. This method simply wraps the function, and so the docstring for ivy.kaiser_bessel_derived_window also applies to this method with minimal changes.

Parameters:

self (Container) – input container including window lengths.
periodic (Union[bool, Container], default: True) – If True, returns a periodic window suitable for use in spectral analysis. If False, returns a symmetric window suitable for use in filter design.
beta (Union[float, Container], default: 12.0) – a float used as shape parameter for the window.
dtype (Optional[Union[Array, NativeArray, Container]], default: None) – data type of the returned array.
out (Optional[Container], default: None) – optional output container, for writing the result to.

Return type:

Container

Returns:

ret – The container that includes the Kaiser Bessel Derived windows.

Examples

>>> x = ivy.Container(a=3, b=5))
>>> x.kaiser_bessel_derived_window(True, 5)
{
    a: ivy.array([0.70710677, 0.70710677]),
    b: ivy.array([0.18493208, 0.9827513 , 0.9827513 , 0.18493208]),
}