Mercurial > hg > ltpda

annotate m-toolbox/test/test_ao_gap_problems.m @ 2:18e956c96a1b database-connection-manager

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Add LTPDADatabaseConnectionManager implementation. Matlab code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Sun, 04 Dec 2011 21:23:09 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % function show_gap_problem
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 close all
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 mc
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 %% common params
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 ns = 1e4;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 fs = 100;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 ts = 1/fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 tf = ns-ts;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 Ns = ns*fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 nfft = Ns;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %% no gaps
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % p1 = pzmodel(1e-8,[pz(1e-5) pz(1e-5) pz(1e-5) pz(2e-5) pz(2e-5) pz(1) pz(1) pz(1)],...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % [ pz(2e-4) pz(2e-4) pz(1e-4) pz(1e-4) pz(1e-4) pz(1e-3) pz(1e-2)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % p1 = pzmodel(1e-8,[pz(1e-5) pz(2e-5) pz(3e-5) pz(4e-5) pz(5e-5) pz(0.9) pz(1) pz(1.1) pz(1.2) pz(1.3)],...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % [ pz(2e-4) pz(3e-4) pz(4e-4) pz(5e-4) pz(1e-4) pz(1e-3) pz(1e-2)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 p1 = pzmodel(0.1,[pz(1e-5) pz(1e-5) pz(1e-5) pz(2e-5) pz(3e-5) pz(4e-5) pz(5e-5) pz(0.9) pz(1) pz(1.1) pz(1.2) pz(1.3)],...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 [ pz(2e-4) pz(3e-4) pz(4e-4) pz(5e-4) pz(1e-4) pz(1e-3) pz(1e-2)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % iplot(resp(p1))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 p2 = pzmodel(1e-9,[ pz(1e-5) pz(2e-5) pz(3e-5) pz(4e-5) pz(5e-5) pz(0.9) pz(1) pz(1.1) pz(1.2) pz(1.3)],...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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21 [ pz(2e-4) pz(3e-4) pz(4e-4) pz(5e-4) pz(1e-4) pz(1e-3) pz(1e-2)]);
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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 %% data generation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 s1 = ssm(p1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 s1.modiftimestep(ts);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 s1.isstable
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 a00hf = s1.simulate(plist('Nsamples', Ns,'noise variable names',{'U>1 '} ,'covariance' , 1, 'return outputs', {'Y>1 '} ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 a02hf = ao(p1,ns,fs );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %% plotting data generation results
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 p_hf = plist('Scale', 'ASD', 'Order',1,'Nfft', nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 ps_hf = plist('Scale', 'ASD', 'Order',1,'Nfft', floor(nfft/3));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % iplot([psd(a00hf,p_hf) resp(p1) psd(a02hf, p_hf)])
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 %% downsampling
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 dns = true;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 k = 500;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 if dns
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 opt = plist('fsout', fs/k);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 a00 = a00hf.dsmean(opt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 a02 = a02hf.dsmean(opt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 ns = k*floor(ns/k);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 fs = fs/k;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 ts = ts*k;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 tf = ns-ts;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 Ns = floor(Ns/k);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 nfft = Ns;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 %% acceleration and spectrum
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 a00hf = a00hf.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 a00hf = a00hf.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 a02hf = a02hf.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 a02hf = a02hf.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 a00 = a00.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 a00 = a00.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 a02 = a02.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 a02 = a02.diff;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 p = plist('Scale', 'ASD', 'Order',1,'Nfft', nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 ps = plist('Scale', 'ASD', 'Order',1,'Nfft', floor(nfft/3));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 iplot([resp(p2) psd(a00hf,ps_hf) psd(a02hf, ps_hf) psd(a00,ps) psd(a02, ps)])
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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 %% baseline : periodic gaps 1s / 249s / 400 cycles
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 kick1 = double(~(mod(0:ts:tf, 250)>min(245,250-ts-1) )).';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 a1k = ao(tsdata(kick1,fs ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 a10 = a00.*a1k;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 %% pb2 : not so periodic gaps : <dn> = 5s, <Tauk+ taud> = 1/500*sqrt(10/fs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 time2 = cumsum(ts*ones(1,Ns) + ts*0.1*randn(1,Ns));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 kick2 = double(~(mod(time2, 250)>min(245,250-ts-1) )).';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 a2k = ao(tsdata(kick2,fs ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 a20 = a00.*a2k;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 %% pb3 : time series too short : 100 cycles
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 a30 = ao(tsdata(a10.data.y(1:floor(Ns/4)), fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 p3 = plist('Scale', 'ASD', 'Order',1,'Nfft', floor(nfft/4));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 ps3 = plist('Scale', 'ASD', 'Order',1,'Nfft', floor(nfft/20));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 %% pb4 : longer gaps : 10s / 230s
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 kick1 = double(~(mod(0:ts:tf, 250)> min(200,250-ts-1) )).';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 a4k = ao(tsdata(kick1,fs ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 a40 = a00.*a4k;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % iplot([psd(a00,p) psd(a10,p) psd(a20,p) psd(a30,p3) psd(a40,p)])
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 iplot([psd(a00,ps) psd(a10,ps) psd(a20,ps) psd(a30,ps3) psd(a40,ps)])
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 %% gap-fill all 4 examples
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 tic
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 a10g = a10.gapfillingoptim(p2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 t(1)=toc;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 tic
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 a20g = a20.gapfillingoptim(p2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 t(2)=toc;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 tic
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 a30g = a30.gapfillingoptim(p2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 t(3)=toc;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 tic
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 try
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 a40g = a40.gapfillingoptim(p2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 t(4)=toc;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 a40gworked = true;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 catch
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 a40gworked = false;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 end
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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>
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105 %% plotting again
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 display('time')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 display(t)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 if a40gworked
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 pplot1= plist('LineColors',{'r' 'r' 'r' 'b' 'k' 'g ' 'r' 'b' 'k' 'g' } ,'LineStyles', {'-' '-' '-' '-' '-' '-' ':' ':' ':' ':'},'LineWidths', {2 2 1 1 1 1 1 1 1 1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 iplot([abs(resp(p2)) psd(a00,ps) psd(a10,ps) psd(a20,ps) psd(a30,ps3) psd(a40,ps) psd(a10g,ps) psd(a20g,ps) psd(a30g,ps3) psd(a40g,ps)], pplot1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 pplot1= plist('LineColors',{'r' 'r' 'r' 'b' 'k' 'g' 'r' 'b' 'k' } ,'LineStyles', {'-' '-' '-' '-' '-' '-' ':' ':' ':'},'LineWidths', {2 2 1 1 1 1 1 1 1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 iplot([abs(resp(p2)) psd(a00,ps) psd(a10,ps) psd(a20,ps) psd(a30,ps3) psd(a40,ps) psd(a10g,ps) psd(a20g,ps) psd(a30g,ps3) ], pplot1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 end
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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>
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117
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118