Mercurial > hg > ltpda
diff m-toolbox/test/test_ao_linlsqsvd.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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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/test/test_ao_linlsqsvd.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,71 @@ +% TEST_AO_LINLSQSVD tests the linlsqsvd method of the AO class. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% L Ferraioli 10-11-2010 +% +% $Id: test_ao_linlsqsvd.m,v 1.2 2011/02/18 16:15:28 luigi Exp $ +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% 1) Determine the coefficients of a linear combination of noises and +%% comapre with lscov: +% +% Make some data +fs = 10; +nsecs = 10; +B1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T')); +B1.setName; +B2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T')); +B2.setName; +B3 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T')); +B3.setName; +n = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm')); +c = [ao(1,plist('yunits','m/T')) ao(2,plist('yunits','m/T')) ao(3,plist('yunits','m T^-1'))]; +y = c(1)*B1 + c(2)*B2 + c(3)*B3 + n; +y.simplifyYunits; +%%% Get a fit with linlsqsvd +pobj1 = linlsqsvd(B1, B2, B3, y); +% do linear combination: using lincom +yfit1 = lincom(B1, B2, B3, pobj1); +yfit1.simplifyYunits; +%%% do fit using lscov +pobj2 = lscov(B1, B2, B3, y); +% do linear combination: using lincom +yfit2 = lincom(B1, B2, B3, pobj2); +yfit2.simplifyYunits; + +%%% do linear combination: using eval +yfit3 = pobj1.eval(B1, B2, B3); + + +% Plot (compare data with fit) +iplot(y, yfit1, yfit2, yfit3) + +%% 2) Determine the coefficients of a linear combination of noises: +% +% Make some data +fs = 10; +nsecs = 10; +x1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'T')); +x1.setName; +x2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm')); +x2.setName; +x3 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'C')); +x3.setName; +n = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm')); +c = [ao(1,plist('yunits','m/T')) ao(2,plist('yunits','m/m')) ao(3,plist('yunits','m C^-1'))]; +y = c(1)*x1 + c(2)*x2 + c(3)*x3 + n; +y.simplifyYunits; + +%%% Get a fit for c +pobj = linlsqsvd(x1, x2, x3, y); +% do linear combination: using lincom +yfit1 = lincom(x1, x2, x3, pobj); + +%%% do linear combination: using eval +pl_split = plist('times', [1 5]); +yfit2 = pobj.eval(plist('Xdata', {split(x1, pl_split), split(x2, pl_split), split(x3, pl_split)})); + +% Plot (compare data with fit) +iplot(y, yfit1, yfit2, plist('Linestyles', {'-','--'})) + +