| Signal Processing Toolbox | |
Windows
In both digital filter design and power spectrum estimation, the choice of a windowing function can play an important role in determining the quality of overall results. The main role of the window is to damp out the effects of the Gibbs phenomenon that results from truncation of an infinite series.
The toolbox window functions are shown in the table below.
| Window |
Function |
| Bartlett window |
|
| Blackman window |
|
| Chebyshev window |
|
| Hamming window |
|
| Hann window |
|
| Kaiser window |
|
| Rectangular window |
|
| Triangular window |
|
| | Special Topics | Basic Shapes | |