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annotate m-toolbox/test/test_ao_padded_sine_model.m @ 44:409a22968d5e default

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Add unit tests
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 18:42:11 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 clear all;
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2
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3 %%
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4 fs = 100;
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5 nsecs = 20;
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6 t = [0:1/fs:nsecs-1/fs];
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7
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8 a = ao(plist('built-in', 'padded_sine', ...
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9 'f0', .1, ...
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10 'Timebase', t, ...
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11 'Tstart', 1.1, ...
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12 'Ncycles', 2.1, ...
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13 'phi', 90))
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14
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15 n = ao(plist('tsfcn', '0.1*randn(size(t))', 'fs', fs, 'nsecs', nsecs));
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16
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17 sw = a+n;
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18
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19 sw.iplot
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20
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21 %% Now try to fit this
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22
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23 % [dc,A,f0,phi,Tstart,N]
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24 af = ao(plist('built-in', 'padded_sine', ...
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25 'Timebase', sw, ...
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26 'f0', .1, ...
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27 'P', [0 1 .11 90 1 2]));
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28
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29 iplot(sw, af)
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30
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31 %% Now fit with simplex
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32
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33 opts = optimset('Display', 'iter', ...
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34 'MaxFunEvals', 10000, ...
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35 'MaxIter', 10000, ...
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36 'TolX', 1e-15, ...
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37 'TolFun', 1e-15, ...
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38 'LargeScale', 'on');
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39
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40 r0 = [0 1 .11 90 1 2];
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41
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42 mksine = @(r)(ao(plist('built-in', 'padded_sine', ...
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43 'Timebase', sw, ...
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44 'P', r)).y);
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45
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46 f = @(r)(sum((mksine(r)-sw.y).^2));
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47
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48 % Do a few iterative fits
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49 % for kk=1:5
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50 x0 = fminsearch(f, r0, opts);
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51 % end
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52
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53
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54 %%
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55
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56 afit = ao(plist('built-in', 'padded_sine', 'Timebase', sw, 'P', x0));
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57
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58 iplot(sw, afit)
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59
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