WOLFRAM SYSTEM MODELER
FIR_windowCalculation of n-point weighting window for FIR filter |
Wolfram Language
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SystemModel["Modelica_Synchronous.WorkInProgress.Incubate.Internal.FIR_window"]
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Information
Weighting windows are used for digital filter design or spectrum estimation (e.g. DFT) to increase the quality. In designing FIR-Filter the main role of windowing is to remove non-ideal effects caused by the endless number of filter coefficients (Gibbs phenomenon). Multiplying the coefficients with a window damps the coefficients at the beginning and at the end.
The function outputs a L-point vector for a given kind of window. The parameter "beta" is only needed by the Kaiser window. The types of windows are:
- Rectangle
- Bartlett
- Hann
- Hamming
- Blackman
- Kaiser
Syntax
a = FIR_window(na, window, beta)
Inputs (3)
| na |
Type: Integer Description: Number of points of weighting window vector |
|---|---|
| window |
Default Value: Window.Kaiser Type: FIR_Window Description: Type of window |
| beta |
Default Value: 2.12 Type: Real Description: Beta-Parameter for Kaiser-window |
Outputs (1)
| a |
Type: Real[na] Description: Weighting window vector a[na] |
|---|