# PoissonWindow

represents a Poisson window function of x.

PoissonWindow[x,α]

uses the parameter α.

# Details • PoissonWindow, also known as the exponential window, is a window function typically used in signal processing applications where data needs to be processed in short segments.
• Window functions have a smoothing effect by gradually tapering data values to zero at the ends of each segment.
• • PoissonWindow[x,α] is equal to .
• is equivalent to PoissonWindow[x,3].
• PoissonWindow automatically threads over lists.

# Examples

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## Basic Examples(3)

Shape of a 1D Poisson window:

Shape of a 2D Poisson window:

Extract the continuous function representing the Poisson window:

Parameterized Poisson window:

## Scope(6)

Evaluate numerically:

Shape of a 1D Poisson window using a specified parameter:

Variation of the shape as a function of the parameter α:

Translated and dilated Poisson window:

2D Poisson window with a circular support:

Discrete Poisson window of length 15:

Discrete 15×11 2D Poisson window:

## Applications(3)

Use the Poisson window to diminish the effect of signal partitioning when computing the spectrogram:

Use a window specification to calculate sample PowerSpectralDensity:

Calculate the spectrum:

Compare to spectral density calculated without a windowing function:

The plot shows that window smooths the spectral density:

Compare to the theoretical spectral density of the process:

Use a window specification for time series estimation:

Specify window for spectral estimator:

## Properties & Relations(3)

The area under the Poisson window:

Normalize to create a window with unit area:

Fourier transform of the Poisson window:

Power spectrum of the Poisson window:

Fourier transform of the parametrized Poisson window:

Variation of the magnitude spectrum of the Kaiser window as a function of the parameter :

## Possible Issues(1)

2D sampling of Poisson window will use a different parameter for each row of samples when passed as a symbol to Array: