functionFIR_window
Calculation of n-point weighting window for FIR filter
Extends from Modelica.Icons.Function (Icon for functions).
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
Inputs
| Type | Name | Default | Description |
|---|---|---|---|
| Integer | L | Number of Points | |
| Window | window | Type of window | |
| Real | beta | 2.12 | Beta-Parameter for Kaiser-window |
Outputs
| Type | Name | Default | Description |
|---|---|---|---|
| Real[L] | a | output vector |