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comparison m-toolbox/test/test_ao_polyfit.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 % TEST_AO_POLYFIT tests the polyfit method of the AO class.
2 %
3 % M Hewitson 05-06-07
4 %
5 % $Id: test_ao_polyfit.m,v 1.19 2011/05/12 03:38:27 mauro Exp $
6 %
7 % function test_ao_polyfit()
8
9
10 %% Make fake AO from polyval
11 nsecs = 100;
12 fs = 10;
13
14 unit_list = unit.supportedUnits;
15 u = unit(cell2mat(utils.math.randelement(unit_list,1)));
16
17 pl = plist('nsecs', nsecs, 'fs', fs, ...
18 'tsfcn', 'polyval([3 2 1 ], t) + 1000*randn(size(t))', ...
19 'xunits', 's', 'yunits', u);
20
21 a1 = ao(pl);
22
23 %% Fit a polynomial
24 N = 3;
25 p1 = polyfit(a1, plist('N', N));
26 p2 = polyfit(a1, plist('N', N, 'rescale', true));
27
28
29 %% Compute fit: from polyval
30
31 b1 = ao(plist('polyval', p1, 't', a1, 'xunits', a1.xunits));
32 b2 = ao(plist('polyval', p2, 't', a1, 'xunits', a1.xunits));
33
34 %% Plot fit
35 iplot(a1, b1, plist('LineStyles', {'', '--'}));
36
37 %% Remove polynomial
38 c = a1-b1;
39 iplot(c)
40
41 plot(c.hist)
42
43 %% Reproduce from history
44 disp('Try rebuilding')
45 a_out = rebuild(c);
46 iplot(a_out)
47 plot(a_out.hist)
48
49 %% Compute fit: evaluating pest
50
51 b11 = p1.eval(a1, plist('type', 'tsdata', 'xfield', 'x'));
52 mu = find(p2.procinfo, 'mu');
53 b21 = p2.eval(plist('type', 'tsdata', 'XData', (a1.x - mu(1))/mu(2), 'xfield', 'x'));
54 b21.setX(a1.x);
55
56 %% Plot fit
57 iplot(a1, b11, b21, plist('LineStyles', {'all','-'}));
58
59 % end
60 % END