Mercurial > hg > ltpda
diff m-toolbox/test/LTPDA_training/topic5/TrainigSession_T5_Ex04.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/LTPDA_training/topic5/TrainigSession_T5_Ex04.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,49 @@ +% Training session Topic 5 exercise 04 +% +% Fitting time series with polynimials +% +% 1) Load time series noise +% 2) Fit data with ao/polyfit +% 3) Check results +% +% +% L FERRAIOLI 22-02-09 +% +% $Id: TrainigSession_T5_Ex04.m,v 1.2 2011/05/13 15:13:12 ingo Exp $ +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% 1) load fsdata + +% load test noise AO from file +a = ao(plist('filename', 'topic5/T5_Ex04_TestNoise.xml')); +a.setName; + +% looking at data +iplot(a) + +%% 2) polyfit + +% ao/polyfit is a wrapper of the matlab function polyfit + +% set plist for fit +plfit = plist('N', 6); % set the order of the polynomial to be fitted to data + +% fit data +p = polyfit(a, plfit); + +% evaluating model +b = ao(plist('polyval', p, 't', a)); + +%% 3) Check results + +% plot model and data +iplot(a,b) + +% plotting fit residuals +iplot(a-b) + + + + +