Mercurial > hg > ltpda
comparison m-toolbox/test/test_ao_tfe.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 tfe functionality. | |
2 % | |
3 % M Hewitson 13-02-07 | |
4 % | |
5 % $Id: test_ao_tfe.m,v 1.7 2011/08/15 13:43:54 hewitson Exp $ | |
6 % | |
7 | |
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 a1 = a1.setName('input'); | |
18 | |
19 % Filter one time-series | |
20 | |
21 % Make a filter | |
22 f1 = miir(plist('type', 'highpass', 'fc', 20, 'fs', fs)); | |
23 | |
24 % Filter the input data | |
25 [a2, f1] = filter(a1,plist('filter', f1)); | |
26 % a3 = resample(a2, plist('fsout', 2000)); | |
27 | |
28 % Make TF from a1 to a2 | |
29 Nfft = 1000; | |
30 win = specwin('Hanning', Nfft); | |
31 pl = plist('Nfft', Nfft, 'win', win, 'order', -1,'variance','yes'); | |
32 t1 = tfe(a1,a2, pl); | |
33 | |
34 % Use MATLAB directly | |
35 | |
36 [txy, f] = tfestimate(a1.data.y, a2.data.y, win.win, Nfft/2, Nfft, a1.data.fs); | |
37 t2 = ao(fsdata(f.', txy.')); | |
38 | |
39 % Plot | |
40 iplot(t1, t2, plist('LineStyles', {'', '--'},'YErrU',{t1.dy,''})) | |
41 | |
42 |