mindspore.ops.bartlett_window

mindspore.ops.bartlett_window(window_length, periodic=True, *, dtype=None)[source]

Bartlett window function.

A triangular-shaped weighting function used for smoothing or frequency analysis of signals in digital signal processing.

\[\begin{split}w[n] = 1 - \left| \frac{2n}{N-1} - 1 \right| = \begin{cases} \frac{2n}{N - 1} & \text{if } 0 \leq n \leq \frac{N - 1}{2} \\ 2 - \frac{2n}{N - 1} & \text{if } \frac{N - 1}{2} < n < N \\ \end{cases},\end{split}\]

where \(N\) is the full window size, and n is natural number less than \(N\) :[0, 1, …, N-1].

Parameters

window_length (Tensor) – The size of window.
periodic (bool, optional) – If True , return a periodic window. If False, return a symmetric window. Default True .

Keyword Arguments

dtype (mindspore.dtype, optional) – The data type specified. Default None .

Returns

A 1-D tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> window_length = mindspore.tensor(5)
>>> output = mindspore.ops.bartlett_window(window_length)
>>> print(output)
[0.  0.4 0.8 0.8 0.4]
>>> output = mindspore.ops.bartlett_window(window_length, periodic=False)
>>> print(output)
[0.  0.5 1.  0.5 0. ]