Mercurial > hg > ltpda

annotate m-toolbox/test/LTPDA_training/topic5/gendata.m @ 52:daf4eab1a51e database-connection-manager tip

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Fix. Default password should be [] not an empty string
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:29:47 +0100
parents f0afece42f48
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % util script to generate training session data for topic 5
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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2 % L FERRAIOLI 22-02-09
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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4 % $Id: gendata.m,v 1.4 2009/10/02 08:31:21 mauro Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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6 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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8 %% save path
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 data_path = '/Users/MH/Matlab/ltpda_cvs/software/m-toolbox/test/LTPDA_Training/topic5/';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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10
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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11 %% 1) model filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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12
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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13 % Model Residues and Poles
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 mRes = [2.44554138162509e-011 - 1.79482547894083e-011i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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15 2.44554138162509e-011 + 1.79482547894083e-011i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
16 2.66402334803101e-009 + 1.1025122049153e-009i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
17 2.66402334803101e-009 - 1.1025122049153e-009i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 -7.3560293387644e-009;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
19 -1.82811618589835e-009 - 1.21803627800855e-009i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
20 -1.82811618589835e-009 + 1.21803627800855e-009i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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21 1.16258677367555e-009;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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22 1.65216557639319e-016;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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23 -1.78092396888606e-016;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 -2.80420398962379e-017;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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25 9.21305973049041e-013 - 8.24686706827269e-014i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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26 9.21305973049041e-013 + 8.24686706827269e-014i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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27 5.10730060739905e-010 - 3.76571756625722e-011i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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28 5.10730060739905e-010 + 3.76571756625722e-011i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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29 3.45893698149735e-009;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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30 3.98139182134446e-014 - 8.25503935419059e-014i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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31 3.98139182134446e-014 + 8.25503935419059e-014i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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32 -1.40595719147164e-011];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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34 mPoles = [0.843464045655194 - 0.0959986292915475i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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35 0.843464045655194 + 0.0959986292915475i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36 0.953187595424927 - 0.0190043625473383i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 0.953187595424927 + 0.0190043625473383i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 0.967176277937188;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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39 0.995012027005247 - 0.00268322602801729i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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40 0.995012027005247 + 0.00268322602801729i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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41 0.996564761885673;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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42 0.999999366165445;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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43 0.999981722418555;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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44 0.999921882627659;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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45 0.999624431675213 - 0.000813407848742761i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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46 0.999624431675213 + 0.000813407848742761i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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47 0.997312006278751 - 0.00265611346834941i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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48 0.997312006278751 + 0.00265611346834941i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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49 0.990516544257531;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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50 0.477796923118318 - 0.311064085401834i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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51 0.477796923118318 + 0.311064085401834i;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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52 0];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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53
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 f = logspace(-6,log10(5),100).';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 fs = 10;
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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 pfparams.type = 'disc';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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58 pfparams.freq = f;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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59 pfparams.fs = fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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60 pfparams.res = mRes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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61 pfparams.pol = mPoles;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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62 pfparams.dterm = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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63
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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64 % response of the model filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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65 pfr = utils.math.pfresp(pfparams);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 y = pfr.resp;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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68 % saving AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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69 rfilt = ao(plist('xvals', f, 'yvals', y, 'fs', fs, 'dtype', 'fsdata'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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70 rfilt.setName;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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71
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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72 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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73 rfilt.save(plist('filename',[data_path 'T5_Ex02_rfilt.mat']));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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74 rfilt.save(plist('filename',[data_path 'T5_Ex02_rfilt.xml']));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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75
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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76 %% 2) Peaked model psd
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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77
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78 % Create a psd model with two peak resonance at 5e-2 and 7e-2 Hz
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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79 func = '(1e-3./(f).^2 + 1e3./(0.001+f) + 1e6.*f.^2).*1e-10 + 1e-5./(1e-3+((f./1e-2).^2-1).^2) + 1e-6./(1e-3+((f./2e-2).^2-1).^2)';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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80 pl_data = plist('fsfcn', func, 'f1', 1e-6, 'f2', .5, 'nf', 300);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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81 mod = ao(pl_data);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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82 iplot(mod)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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83
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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84 %% Building white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86 a = ao(plist('tsfcn', 'randn(size(t))', 'fs', 1, 'nsecs', 10000, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 a.setName;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 %% Calling the noise generator
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 'model', mod, ... % Multiplication by fs needed to preserve energy
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93 'MaxIter', 70, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 'MinOrder', 10, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 'MaxOrder', 45, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 'RMSEVar', 7,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 'FitTolerance', 2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 ac = noisegen1D(a, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 acxx = ac.psd(plist('Nfft',2000));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 iplot(acxx,mod)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 ac.save(plist('filename',sprintf([data_path 'T5_Ex03_TestNoise.mat'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 ac.save(plist('filename',sprintf([data_path 'T5_Ex03_TestNoise.xml'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 %% 3) Generate polynomial tsdata
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 % Make fake AO from polyval
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 nsecs = 1000;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 a1 = ao(plist('tsfcn', 'polyval([1e-11 0 -5e-6 -1e-3 -5e-1 0.5], t) + 5e2*randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 % iplot(a1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 a1.save(plist('filename',sprintf([data_path 'T5_Ex04_TestNoise.mat'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 a1.save(plist('filename',sprintf([data_path 'T5_Ex04_TestNoise.xml'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 %% 4) Generate tsdata from function
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 nsecs = 1000;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 a2 = ao(plist('tsfcn','5 + 3.*sin(2.*pi.*(1e-4 + 1e-5.*t).*t + 0.3) + randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 iplot(a2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 a2.save(plist('filename',sprintf([data_path 'T5_Ex05_TestNoise.mat'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 a2.save(plist('filename',sprintf([data_path 'T5_Ex05_TestNoise.xml'])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 %% 5) Temp and Ifo data
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 % read ao
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 ifo_rw = ao('ifo_temp_example/ifo_training.dat');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 ifo_rw.setYunits('rad');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 T_rw = ao('ifo_temp_example/temp_training.dat');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 T_rw.setYunits('degC');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 % Consolidate data
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 [ifo_c,T_c] = consolidate(ifo_rw,T_rw,plist('fs',1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
151 ifo_c.save(plist('filename',sprintf([data_path 'ifo_Ex06.mat'])));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
152 ifo_c.save(plist('filename',sprintf([data_path 'ifo_Ex06.xml'])));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
153 T_c.save(plist('filename',sprintf([data_path 'T_Ex06.mat'])));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
154 T_c.save(plist('filename',sprintf([data_path 'T_Ex06.xml'])));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
155
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
156 %%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
157
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
158 % do TF
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
159 % pl2 = plist('Nfft', 2000);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
160 % tf = tfe(T_c,ifo_c,pl2);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
161 tf = tfe(T_c,ifo_c);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166