Mercurial > hg > ltpda

annotate m-toolbox/test/test_ao_fftfilt.m @ 0:f0afece42f48

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Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % Test script for ao/fftfilt
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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 % L Ferraioli 09-10-08
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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_cov.m,v 1.2 2008/12/11 08:25:15 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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 s = ao(plist('tsfcn', '3.*sin(2.*pi.*0.01.*t) + randn(size(t))', 'fs', 10, 'nsecs', 1e4));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %% Test with a miir filter
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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 % get a miir filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 plf = plist('type','lowpass',...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 'order',4,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 'fs',10,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 'fc',1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 filt = miir(plf);
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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 % do classical fitering
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 fs1 = filter(s,filt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 iplot(s,fs1)
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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 % do fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 fs2 = fftfilt(s,filt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % compare results
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 iplot(fs1,fs2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 iplot(fs1./fs2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 iplot(fs1-fs2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 %% Test with a miir filter
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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 % get a miir filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 plf = plist('type','lowpass',...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 'order',4,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 'fs',10,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 'fc',1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 filt = miir(plf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % do classical fitering
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 fs1 = filter(s,filt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 iplot(s,fs1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % do fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 plfft = plist('Npad',5.*length(s.data.y));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 fs2 = fftfilt(s,filt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 % compare results
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 iplot(fs1,fs2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 iplot(fs1./fs2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 iplot(fs1-fs2)
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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 %%
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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 % imp = zeros(10000,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 % imp(1) = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 % imp_resp = filter(num,den,imp);
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 % fs1 = filter(num,den,s.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 % fs2 = conv(s.y,imp_resp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % X = fft([s.y;zeros(length(imp_resp)-1,1)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % Y = fft([imp_resp;zeros(length(s.y)-1,1)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 % fs3 = ifft(X.*Y);
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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 %% Test pzmodel fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 poles = [pz(1e-3,2) pz(1e-2)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 zeros = [pz(3e-3,3) pz(5e-2)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 pzm = pzmodel(10, poles, zeros);
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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 % do fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 plfft = plist('Npad',5.*length(s.data.y));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 fs = fftfilt(s,pzm);
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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 tf = tfe(s,fs,plist('navs',2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 rsp = resp(pzm,plist('f',logspace(-4,log10(5))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 iplot(tf,rsp)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 %% Test smodel
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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 str = 'a.*(2.*i.*pi.*f).^2 + b.*2.*i.*pi.*f + c';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 mod = smodel(str);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 mod.setParams({'a','b','c'},{1,2,3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 mod.setXvar('f');
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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 freq = logspace(-5,log10(5),100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 mod.setXvals(freq);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 mod.setXunits('Hz');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 mod.setYunits('kg m s^-2');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % eval smodel
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 em = eval(mod,plist('output x',freq,'type','fsdata'));
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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 % make a time series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 dt = ao.randn(10000,10);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 % do fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 sdt = fftfilt(dt,mod);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % test output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 tdt = tfe(dt,sdt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 iplot(em,tdt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 %% Test initial conditions
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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>
parents:
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108 str = 'a.*(2.*i.*pi.*f).^2 + b.*2.*i.*pi.*f + c';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 mod = smodel(str);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 mod.setParams({'a','b','c'},{1,2,3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 mod.setXvar('f');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 freq = logspace(-5,log10(5),100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 mod.setXvals(freq);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 mod.setXunits('Hz');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 mod.setYunits('kg m s^-2');
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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>
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118 % eval smodel
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 em = eval(mod,plist('output x',freq,'type','fsdata'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 % make a time series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 dt = ao.randn(10000,10);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 % do fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 sdt = fftfilt(dt,mod);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 % do fftfilt with initial conditions assuming a 2nd order equation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 sdt_inCond = fftfilt(dt,mod,plist('initial conditions',[2000,1000]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 % test output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 iplot(sdt_inCond,sdt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 iplot(sdt_inCond-sdt,plist('yscales',{'all','log'}))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139