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annotate m-toolbox/test/test_ao_gapfilling.m @ 33:5e7477b94d94 database-connection-manager

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % A test script for the gapfilling method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % J Sanjuan 28-01-08
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % $Id: test_ao_gapfilling.m,v 1.3 2009/02/02 15:20:38 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 function test_ao_gapfilling()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % Make test AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % stationary data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 nsecs = 1e4;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 pl.append('nsecs', nsecs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 pl.append('fs', fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 pl.append('tsfcn', 'randn(size(t))');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 a1 = ao(pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 a1.setName('a1');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %a1.setX(1:1e4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 %a1x = ao(pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 %a1x.setName('a1x');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 %a1x.setX(1e4+1:2e4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % non-stationary data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 pl.append('nsecs', nsecs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 pl.append('fs', fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 pl.append('tsfcn', '0.001*t+randn(size(t))');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 a2 = ao(pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 a2.setName('a2');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % non-stationary data (ii)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 pl.append('nsecs', nsecs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 pl.append('fs', fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 pl.append('tsfcn', 'exp(t/2.5e3)+randn(size(t))');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 a3 = ao(pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 a3.setName('a3');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 % Split by time the previous data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 pl = plist('split_type', 'times', 'times', [0.0 6000.0 6000.0 8999 8999 1e4]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 ao_new = split(a1, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 %times = [0 6000 6000 8999 8999 1e4];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 %pl = plist('times', times);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 b = split(a1, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 Ta_stat = b(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 Ta_stat.setX(1:6000);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 Tc_stat = b(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 Tc_stat.setX(9000:1e4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 clear b
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 b = split(a2, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 Ta_nonstat = b(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 Ta_nonstat.setX(1:6000);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 Tc_nonstat = b(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 Tc_nonstat.setX(9000:1e4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 clear b
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 b = split(a3, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 Tx = b(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 Tx.setX(1:6000);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 Ty = b(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 Ty.setX(9000:1e4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % Use gapfilling
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 % parameters list
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 pl = plist('method', 'spline');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 pl = plist('addnoise', 'yes');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 % stationary data, a1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 a1_refilled = gapfilling(Ta_stat, Tc_stat) % default parmeters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 a1_refilled_spline = gapfilling(Ta_stat, Tc_stat, pl); % using pl
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 % non-stationary data, a2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 a2_refilled = gapfilling(Ta_nonstat, Tc_nonstat) % default parmeters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 a2_refilled_spline = gapfilling(Ta_nonstat, Tc_nonstat, pl); % using pl
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 % non-stationary data, a3
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 a3_refilled = gapfilling(Tx, Ty) % default parmeters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 a3_refilled_spline = gapfilling(Tx, Ty, pl); % using pl
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 % Plotting
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 iplot(a1, a1_refilled, a1_refilled_spline);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 iplot(a2, a2_refilled, a2_refilled_spline);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 iplot(a3_refilled, a3_refilled_spline);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 % plot history for a1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 plot(a1_refilled.hist)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 % Reproduce from history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 a_out = rebuild(a1_refilled);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 a_out2 = rebuild(a2_refilled);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 iplot(a_out);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 end