Mercurial > hg > ltpda
comparison m-toolbox/test/test_ao_cohere.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 ao/cohere functionality. | |
2 % | |
3 % M Hewitson 08-05-08 | |
4 % | |
5 % $Id: test_ao_cohere.m,v 1.6 2009/04/07 17:45:22 ingo Exp $ | |
6 % | |
7 function test_ao_cohere() | |
8 | |
9 % Make test AOs | |
10 | |
11 nsecs = 10; | |
12 fs = 1000; | |
13 | |
14 pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'sin(2*pi*7.433*t) + randn(size(t))'); | |
15 | |
16 a1 = ao(pl); | |
17 a2 = ao(pl); | |
18 | |
19 % Filter one time-series | |
20 % Make a filter | |
21 pl = plist('type', 'bandpass', 'fs', 1000, 'order', 3, 'fc', [50 250]); | |
22 f2 = miir(pl); | |
23 | |
24 % filter the input data | |
25 [a3, f2] = filter(a1,plist('filter', f2)); | |
26 | |
27 % make some cross-power | |
28 a4 = a3+a2; | |
29 a4.setName; | |
30 | |
31 % Make cohere from a6 to a7 | |
32 Nfft = 1000*2; | |
33 win = specwin('Hanning', Nfft); | |
34 pl = plist('Nfft', Nfft, 'Win', win, 'order', 2); | |
35 a8 = cohere(a4, a1, pl); | |
36 | |
37 | |
38 % Do with MATLAB | |
39 [cxy, f] = mscohere(a4.data.y, a1.data.y, win.win, Nfft/2, Nfft, a1.data.fs); | |
40 a9 = ao(fsdata(f, cxy)); | |
41 | |
42 % Plot | |
43 iplot(a8, a9, plist('YScales', 'lin', 'LineStyles', {'', '--'})) | |
44 | |
45 end |