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view testing/utp_1.1/utp_fcns/get_test_obj_ao_noisegen1D.m @ 45:a59cdb8aaf31 database-connection-manager
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Tue, 06 Dec 2011 19:07:22 +0100 |
parents | 409a22968d5e |
children |
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% test csd for ao/noisegen1D %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: Output a model for mdc1 cross spectral density % % CALL: % [PSD,a1,a2,a3,a4,a5,av,am,plstd] = get_test_obj_ao_noisegen1D() % % % OUTPUTS: % CSD - a 2x2 matrix of analysis objects containing CSD % models % TF - a 2x2 matrix of analysis objects containing TF % models % a# - are white noise aos % av - a vector of wn aos % am - a matrix of wn aos % plst - a standard plist to call noisegen2D % % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function [PSD,a1,a2,a3,a4,a5,av,am,plstd,plstd2] = get_test_obj_ao_noisegen1D() nsecs = 100; fs = 10; % Hz f = logspace(-6,log10(fs/2),100).'; % vector of frequencies Hz % Models response calculation tf11 = calcTF11(f,fs); tf12 = calcTF12(f,fs); % PSD calculation PSD = tf11.*conj(tf11)+tf12.*conj(tf12); PSD.setName('PSD'); % Building test objects a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'm')); a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs)); a3 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', 'V')); a4 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', nsecs, 'yunits', '')); a5 = ao(plist('tsfcn', 'randn(size(t)).''', 'fs', fs, 'nsecs', nsecs, 'yunits', 'fm s^-2')); av = [a1 a2 a3]; am = [a1 a2; a3 a4]; a1.setName; a2.setName; a3.setName; a4.setName; a5.setName; % building standard plist plstd = plist(... 'model', PSD, ... 'MaxIter', 60, ... 'PoleType', 2, ... 'MinOrder', 15, ... 'MaxOrder', 45, ... 'Weights', 3, ... 'Plot', false,... 'Disp', false,... 'MSEVARTOL', 0.1,... 'FITTOL', 0.01); plstd2 = plist(... 'fs', fs, ... 'Iunits', '', ... 'Ounits', 'm', ... 'MaxIter', 60, ... 'PoleType', 2, ... 'MinOrder', 15, ... 'MaxOrder', 45, ... 'Weights', 3, ... 'Plot', false,... 'Disp', false,... 'MSEVARTOL', 0.1,... 'FITTOL', 0.01); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % LOCAL FUNCTIONS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function tf11 = calcTF11(f,fs) % Model Stefano TF11 coefficients dRes11 = [2.44554138162509e-011 - 1.79482547894083e-011i; 2.44554138162509e-011 + 1.79482547894083e-011i; 2.66402334803101e-009 + 1.1025122049153e-009i; 2.66402334803101e-009 - 1.1025122049153e-009i; -7.3560293387644e-009; -1.82811618589835e-009 - 1.21803627800855e-009i; -1.82811618589835e-009 + 1.21803627800855e-009i; 1.16258677367555e-009; 1.65216557639319e-016; -1.78092396888606e-016; -2.80420398962379e-017; 9.21305973049041e-013 - 8.24686706827269e-014i; 9.21305973049041e-013 + 8.24686706827269e-014i; 5.10730060739905e-010 - 3.76571756625722e-011i; 5.10730060739905e-010 + 3.76571756625722e-011i; 3.45893698149735e-009; 3.98139182134446e-014 - 8.25503935419059e-014i; 3.98139182134446e-014 + 8.25503935419059e-014i; -1.40595719147164e-011]; dPoles11 = [0.843464045655194 - 0.0959986292915475i; 0.843464045655194 + 0.0959986292915475i; 0.953187595424927 - 0.0190043625473383i; 0.953187595424927 + 0.0190043625473383i; 0.967176277937188; 0.995012027005247 - 0.00268322602801729i; 0.995012027005247 + 0.00268322602801729i; 0.996564761885673; 0.999999366165445; 0.999981722418555; 0.999921882627659; 0.999624431675213 - 0.000813407848742761i; 0.999624431675213 + 0.000813407848742761i; 0.997312006278751 - 0.00265611346834941i; 0.997312006278751 + 0.00265611346834941i; 0.990516544257531; 0.477796923118318 - 0.311064085401834i; 0.477796923118318 + 0.311064085401834i; 0]; dDTerms11 = 0; % response calculation pfparams.type = 'disc'; pfparams.freq = f; pfparams.fs = fs; pfparams.res = dRes11; pfparams.pol = dPoles11; pfparams.dterm = dDTerms11; pfr = utils.math.pfresp(pfparams); mtf11 = pfr.resp; % building AOs tf11 = ao(plist('xvals', f, 'yvals', mtf11, 'fs', fs, 'type', 'fsdata')); % name for this object tf11.setName('TF11'); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function tf12 = calcTF12(f,fs) % Model Stefano TF12 dRes12 = [1.44258422208796e-017 + 7.07359428613009e-019i; 1.44258422208796e-017 - 7.07359428613009e-019i; -3.4918408053655e-021 - 1.05662874569329e-021i; -3.4918408053655e-021 + 1.05662874569329e-021i; -7.61773292876976e-021; 4.84357724603939e-020 + 2.38824204294595e-019i; 4.84357724603939e-020 - 2.38824204294595e-019i; -4.07088520945753e-020 - 2.31474543846105e-019i; -4.07088520945753e-020 + 2.31474543846105e-019i; 8.73316588658882e-023; -5.21840635377469e-020; 1.8461911504859e-023; 5.20105247464461e-020; -4.68960092394415e-022; -1.44261407664171e-017 + 6.8922564526833e-019i; -1.44261407664171e-017 - 6.8922564526833e-019i; 3.13688133935426e-022]; dPoles12 = [0.477546340377332 - 0.310830571032376i; 0.477546340377332 + 0.310830571032376i; 0.99790715414307 - 0.0028490561287024i; 0.99790715414307 + 0.0028490561287024i; 0.998014205354671 ; 0.999585354543332 - 0.000780408757425194i; 0.999585354543332 + 0.000780408757425194i; 0.99966003029931 - 0.000830944038363768i; 0.99966003029931 + 0.000830944038363768i; 0.999962770401331 ; 0.999981881865521 ; 0.999999365763457 ; 0.999981706320212 ; 0.99992421574188 ; 0.477898460791003 + 0.311001926610074i; 0.477898460791003 - 0.311001926610074i; 0]; dDTerms12 = 0; % response calculation pfparams.type = 'disc'; pfparams.freq = f; pfparams.fs = fs; pfparams.res = dRes12; pfparams.pol = dPoles12; pfparams.dterm = dDTerms12; pfr = utils.math.pfresp(pfparams); mtf12 = pfr.resp; % building AOs tf12 = ao(plist('xvals', f, 'yvals', mtf12, 'fs', fs, 'type', 'fsdata')); % name for this object tf12.setName('TF12'); end