Mercurial > hg > ltpda
view m-toolbox/test/smallvector/test_smallvectorfit.m @ 8:2f5c9bd7d95d database-connection-manager
Clarify ltpda_uo.retrieve parameters handling
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
children |
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% Test ao/smallvectorfit functionality. % % A Monsky, M Hueller 29-03-10 % % $Id: test_smallvectorfit.m,v 1.5 2010/04/01 08:29:21 anneke Exp $ % % Parameters datafiles = '2008-07-11_12-26'; test_data = sprintf('%s/example_file.dat', datafiles); fs = 800000.0/24640.0; %% Load data % unfiltered Data disp('*** Loading phase data....') dpl = plist('filename', test_data, 'fs', fs, 'columns', 1, 'yunits', ''); dpl2 = plist('filename', test_data, 'fs', fs, 'columns', 2, 'yunits', ''); dpl3 = plist('filename', test_data, 'fs', fs, 'columns', 3, 'yunits', ''); phir = ao(dpl); phi1 = ao(dpl2); phi12 = ao(dpl3); iplot(phir, phi12) %% User input % starttime = input('enter start time: '); % endtime = input('enter end time: '); %% starttime = 40; endtime = 50; %% Split and filter pl = plist('type', 'lowpass', 'order', 1, 'gain', 1.0, 'fs', fs, 'fc', 1); f = mfir(pl); spl = plist('split_type', 'times', 'times',[starttime endtime]); phi1_split = split(filter(phi1,f), spl); phi12_split = split(filter(phi12,f), spl); phir_split = split(filter(phir,f), spl); %% Compute psi psi1_split = phi1_split - phir_split; psi12_split = phi12_split - phir_split; %% XYdata xy_psi1 = ao(plist('xvals', phir_split.data.y, 'yvals', psi1_split.data.y, ... 'xunits', phir_split.yunits, 'yunits', psi1_split.yunits)); % This could be replaced by ao/scatterData xy_psi12 = ao(plist('xvals', phir_split.data.y, 'yvals', psi12_split.data.y, ... 'xunits', phir_split.yunits, 'yunits', psi1_split.yunits)); % This could be replaced by ao/scatterData %% correct for Doppler effect phir_doppler = dopplercorr(phir_split, plist('bin',50)); phi1_doppler = dopplercorr(phi1_split, plist('bin',50)); phi12_doppler = dopplercorr(phi12_split, plist('bin',50)); %% Psi psi1_doppler = phi1_doppler - phir_doppler; psi12_doppler = phi12_doppler - phir_doppler; psi12_doppler.data.growT; %% XYdata xy_psi1_doppler = ao(plist('xvals', phir_doppler.data.y, 'yvals', psi1_doppler.data.y, ... 'xunits', phir_doppler.yunits, 'yunits', psi1_doppler.yunits)); % This could be replaced by ao/scatterData xy_psi12_doppler = ao(plist('xvals', phir_doppler.data.y, 'yvals', psi12_doppler.data.y, ... 'xunits', phir_doppler.yunits, 'yunits', psi12_doppler.yunits)); % This could be replaced by ao/scatterData iplot(xy_psi1, xy_psi1_doppler) %% Fit [fit_psi1 fit_psi12] = smallvectorfit(phir_doppler, phi1_doppler, psi1_doppler, phi12_doppler, psi12_doppler); %% Linear combination [svec_psi1 svec_psi12] = smallvector_lincom(... phir_doppler, phi1_doppler, psi1_doppler, phi12_doppler, psi12_doppler, fit_psi1, fit_psi12); %% create an xy data object from the linear combination xy_klvek_psi1 = scatterData(phir_doppler,svec_psi1); xy_klvek_psi12 = scatterData(phir_doppler,svec_psi12); %% Plot data and fit together iplot(xy_psi1_doppler, xy_klvek_psi1) iplot(xy_psi12_doppler, xy_klvek_psi12) %% read out small vector coefficiients fit_klvek_psi1 = find(fit_psi1.procinfo,'coef_psi1'); fit_klvek_psi12 = find(fit_psi12.procinfo,'coef_psi12');