mindspore.ops.kaiser_window
- mindspore.ops.kaiser_window(window_length, periodic=True, beta=12.0, *, dtype=None)[source]
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
\[- \frac{M - 1}{2} \leq n \leq \frac{M - 1}{2}\]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 toFalse
, 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
>>> from mindspore import ops >>> 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]