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view m-toolbox/test/test_ao_tfe.m @ 0:f0afece42f48
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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% Test tfe functionality. % % M Hewitson 13-02-07 % % $Id: test_ao_tfe.m,v 1.7 2011/08/15 13:43:54 hewitson Exp $ % % Make test AOs nsecs = 10; fs = 1000; pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'sin(2*pi*7.433*t) + randn(size(t))'); a1 = ao(pl); a1 = a1.setName('input'); % Filter one time-series % Make a filter f1 = miir(plist('type', 'highpass', 'fc', 20, 'fs', fs)); % Filter the input data [a2, f1] = filter(a1,plist('filter', f1)); % a3 = resample(a2, plist('fsout', 2000)); % Make TF from a1 to a2 Nfft = 1000; win = specwin('Hanning', Nfft); pl = plist('Nfft', Nfft, 'win', win, 'order', -1,'variance','yes'); t1 = tfe(a1,a2, pl); % Use MATLAB directly [txy, f] = tfestimate(a1.data.y, a2.data.y, win.win, Nfft/2, Nfft, a1.data.fs); t2 = ao(fsdata(f.', txy.')); % Plot iplot(t1, t2, plist('LineStyles', {'', '--'},'YErrU',{t1.dy,''}))