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MATLAB already contains a number of window functions suitable for spectral analysis. However, these functions simply return vectors of window samples; no additional information is given. It is also desirable to have more information about a window function, for example, its normalised equivalent noise bandwidth (NENBW), its peak side-lobe level (PSLL), and its recommended overlap (ROV).
The specwin class implements many window functions as class objects that contain many descriptive properties. The following table lists the available window functions and some of their properties:
| Window name | NENBW | PSLL [dB] | ROV [%] |
|---|---|---|---|
|
Rectangular |
1.000 |
-13.3 |
0.0 |
|
Welch |
1.200 |
-21.3 |
29.3 |
|
Bartlett |
1.333 |
-26.5 |
50.0 |
|
Hanning |
1.500 |
-31.5 |
50.0 |
|
Hamming |
1.363 |
-42.7 |
50.0 |
|
Nuttall3 |
1.944 |
-46.7 |
64.7 |
|
Nuttall4 |
2.310 |
-60.9 |
70.5 |
|
Nuttall3a |
1.772 |
-64.2 |
61.2 |
|
Nuttall3b |
1.704 |
-71.5 |
59.8 |
|
Nuttall4a |
2.125 |
-82.6 |
68.0 |
|
Nuttall4b |
2.021 |
-93.3 |
66.3 |
|
Nuttall4c |
1.976 |
-98.1 |
65.6 |
|
BH92 |
2.004 |
-92.0 |
66.1 |
|
SFT3F |
3.168 |
-31.7 |
66.7 |
|
SFT3M |
2.945 |
-44.2 |
65.5 |
|
FTNI |
2.966 |
-44.4 |
65.6 |
|
SFT4F |
3.797 |
-44.7 |
75.0 |
|
SFT5F |
4.341 |
-57.3 |
78.5 |
|
SFT4M |
3.387 |
-66.5 |
72.1 |
|
FTHP |
3.428 |
-70.4 |
72.3 |
|
HFT70 |
3.413 |
-70.4 |
72.2 |
|
FTSRS |
3.770 |
-76.6 |
75.4 |
|
SFT5M |
3.885 |
-89.9 |
76.0 |
|
HFT90D |
3.883 |
-90.2 |
76.0 |
|
HFT95 |
3.811 |
-95.0 |
75.6 |
|
HFT116D |
4.219 |
-116.8 |
78.2 |
|
HFT144D |
4.539 |
-114.1 |
79.9 |
|
HFT169D |
4.835 |
-169.5 |
81.2 |
|
HFT196D |
5.113 |
-196.2 |
82.3 |
|
HFT223D |
5.389 |
-223.0 |
83.3 |
|
HFT248D |
5.651 |
-248.0 |
84.1 |
In addition to these 'standard' windows, Kaiser windows can be designed to give a chosen PSLL.
| |
Spectral Windows | Using spectral windows | |
©LTP Team