Mercurial > hg > ltpda

annotate m-toolbox/test/diagnostics/test_ltpda_arma_time.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 function test_ltpda_arma_time()
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2 % A test script for the ltpda_arma_time function
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3 %
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4 % miquel 20-02-08
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5 %
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6 % $Id: test_ltpda_arma_time.m,v 1.1 2008/03/04 12:55:05 miquel Exp $
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7 %
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8
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9 %% Make test AOs
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10
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11 fs=1;
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12 nsecs=10000;
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13
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14 pl = plist();
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15 pl = append(pl, param('nsecs',nsecs));
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16 pl = append(pl, param('fs',fs));
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17 pl = append(pl,param('tsfcn','(heaviside(t-1000.5)).*(1-(exp(-(t-1000.5)/300))+(exp(-(t-1000.5)/500)-1))'));
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18
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19 ain = ao(pl);
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20
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21 % Filter input time-series
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22 pl = append(pl, param('type', 'highpass'));
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23 pl = append(pl, param('ripple', 5e-1));
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24 pl = append(pl, param('order', 1));
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25 pl = append(pl, param('gain', 1e-1));
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26 pl = append(pl, param('fc', 1e-3));
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27
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28 f = miir(pl);
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29 [aout, fout] = filter(ain,plist(param('filter',f)));
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30
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31 % Add independent noise to both channels
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32 pn1 = plist('waveform', 'noise','type','Uniform','fs', fs, 'nsecs', nsecs);
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33 an1 = ao(pn1);
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34
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35 ain = ain + 1e-3*an1;
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36
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37 pn2 = plist('waveform', 'noise','type','Uniform','fs', fs, 'nsecs', nsecs);
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38 an2 = ao(pn2);
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39
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40 aout = aout + 1e-3*an2;
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41
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42
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43 %% Find ARMA parameters for the transfer function
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44
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45 % Parameter list for ltpda_arma_time
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46 pl = append(pl, param('MaxIter',1e3));
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47 pl = append(pl, param('MaxFunEvals',1e3));
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48 pl = append(pl, param('TolX',1e-7));
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49 pl = append(pl, param('TolFun',1e-7));
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50 pl = append(pl, param('ARMANum',2));
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51 pl = append(pl, param('ARMADen',1));
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52
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53 % Use ltpda_arma_time
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54 ao_arma = ltpda_arma_time(ain, aout, pl);
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55 %
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56 disp(sprintf('\r! Filter parameters:\r'))
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57 disp(sprintf('%d\t', fout.a,fout.b(2:length(fout.b))))
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58 disp(sprintf('\r! Estimated parameters:\r'))
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59 disp(sprintf('%d\t',ao_arma.data.y(1:length(ao_arma.data.y)-1)))
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60
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61
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62 % Compute fitted output
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63 p = find(pl, 'ARMANum');
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64 q = find(pl, 'ARMADen');
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65
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66 f = miir([ao_arma.data.y(1:p)],[1 ao_arma.data.y(p+1:p+q)],find(pl,'fs'));
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67 [afit, ffit] = filter(ain,plist(param('filter',f)));
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68
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69 % Plot
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70 iplot(ain,aout,afit,plist('Legends', {'Input','Output','Fit'}))
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71
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72 % %% Plot history
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73 % figure
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74 % plot(ao_arma.hist)
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75 %
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76 % %% Reproduce from history
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77 %
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78 % % Write an m-file from AO
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79 % ao2m(ao_arma, 'ltpda_test.m');
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80 %
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81 % % now run it
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82 % clear all;
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83 % a_out = ltpda_test;
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84 %
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85 % % iplot(a_out)
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86 %
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87 % figure
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88 % plot(a_out.hist)
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 %% Delete test files
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91 % delete('ltpda_test.m');
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92