mindspore.ops.kaiser_window

mindspore.ops.kaiser_window(window_length, periodic=True, beta=12.0, *, dtype=None)

Generates a Kaiser window, which is also known as the Kaiser-Bessel window.

The Kaiser window is defined as

$$w(n)=\frac{I_0\left(\beta \sqrt{1-\frac{4n^2}{(M-1{)}^2}}\right)}{I_0(\beta )}$$

with

$$-\frac{M-1}{2}\le n\le \frac{M-1}{2}$$

where $I_0$ is the modified zeroth-order Bessel function.

Parameters

• window_length (int) – Length of window.

• periodic (bool, optional) – When set to True, generates a periodic window for spectral analysis. When set to False, generates a symmetric window for filter design. Default: True.

• beta (float, optional) – Shape parameter, when beta gets large, the window narrows. Default: 12.0.

Keyword Arguments

dtype (mindspore.dtype, optional) – The output window data type, it must be float. Default: None.

Returns

Tensor, a Kaiser window.

Raises

• TypeError – If window_length or beta is not an integer.

• TypeError – If periodic is not a variable of Boolean type.

• ValueError – If window_length is negative.

Supported Platforms:

Ascend GPU CPU

Examples

>>> window_length = 5
>>> out = ops.kaiser_window(window_length)
>>> print(out.asnumpy())
[5.27734413e-05 1.01719688e-01 7.92939834e-01 7.92939834e-01
 1.01719688e-01]