mindspore.ops.bartlett_window

mindspore.ops.bartlett_window(window_length, periodic=True, *, dtype=None)

Bartlett window function.

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

$$\begin{array}{r}w[n]=1-|\frac{2n}{N-1}-1|=\{\begin{array}{ll}\frac{2n}{N-1}& \text{if }0\le n\le \frac{N-1}{2}\\ 2-\frac{2n}{N-1}& \text{if }\frac{N-1}{2}<n<N\end{array},\end{array}$$

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. ]