Mercurial > hg > ltpda
comparison m-toolbox/test/test_specwin_nenbw_definition.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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-1:000000000000 | 0:f0afece42f48 |
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1 % Test specwin/specwin normalized equivalent noise bandwidth definition. | |
2 % | |
3 % M Hueller 06-03-09 | |
4 % | |
5 % $Id: test_specwin_nenbw_definition.m,v 1.1 2009/03/06 09:26:28 mauro Exp $ | |
6 % | |
7 win_names = {'Rectangular', ... | |
8 'Welch', ... | |
9 'Bartlett', ... | |
10 'Hanning', ... | |
11 'Hamming', ... | |
12 'Nuttall3', ... | |
13 'Nuttall4', ... | |
14 'Nuttall3a', ... | |
15 'Nuttall3b', ... | |
16 'Nuttall4a', ... | |
17 'Nuttall4b', ... | |
18 'Nuttall4c', ... | |
19 'BH92', ... | |
20 'SFT3F', ... | |
21 'SFT3M', ... | |
22 'FTNI', ... | |
23 'SFT4F', ... | |
24 'SFT5F', ... | |
25 'SFT4M', ... | |
26 'FTHP', ... | |
27 'HFT70', ... | |
28 'FTSRS', ... | |
29 'SFT5M', ... | |
30 'HFT90D', ... | |
31 'HFT95', ... | |
32 'HFT116D', ... | |
33 'HFT144D', ... | |
34 'HFT169D', ... | |
35 'HFT196D', ... | |
36 'HFT223D', ... | |
37 'HFT248D'}; | |
38 | |
39 % Different parameters for the Kaiser window family | |
40 psll = [50:50:300]; | |
41 % Lenght of the window | |
42 npts = 100; | |
43 | |
44 N = length(win_names); | |
45 M = length(psll); | |
46 def_dif = zeros(N+M,1); | |
47 | |
48 % All windows but Kaiser | |
49 for jj = 1:N | |
50 w = specwin(win_names{jj},npts); | |
51 % Definition from the specwin constructor (included in a helper dedicated | |
52 % to each window) | |
53 d1 = w.nenbw; | |
54 % Definition from the "theory" | |
55 d2 = w.ws2/(w.ws)^2/fs*length(w.win); | |
56 % Relative difference | |
57 def_dif(jj) = (d1-d2)/mean([d1,d2]); | |
58 disp([win_names{jj} ' ' num2str(def_dif(jj))]); | |
59 end | |
60 | |
61 % Kaiser windows | |
62 for jj = N+1:N+M | |
63 w = specwin('Kaiser',psll(jj-N),npts); | |
64 % Definition from the specwin constructor (included in a helper dedicated | |
65 % to each window) | |
66 d1 = w.nenbw; | |
67 % Definition from the "theory" | |
68 d2 = w.ws2/(w.ws)^2/fs*length(w.win); | |
69 % Relative difference | |
70 def_dif(jj) = (d1-d2)/mean([d1,d2]); | |
71 disp(['Kaiser' num2str(psll(jj-N)) ' ' num2str(def_dif(jj))]); | |
72 end |