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 .
- PoissonWindow[x] is equivalent to PoissonWindow[x,3].
- PoissonWindow automatically threads over lists.
Examples
open allclose allBasic Examples (3)
Scope (6)
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:
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:
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:
Text
Wolfram Research (2012), PoissonWindow, Wolfram Language function, https://reference.wolfram.com/language/ref/PoissonWindow.html.
CMS
Wolfram Language. 2012. "PoissonWindow." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/PoissonWindow.html.
APA
Wolfram Language. (2012). PoissonWindow. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/PoissonWindow.html