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view testing/utp_1.1/utp_fcns/get_test_csd_ao_noisegen2D.m @ 44:409a22968d5e default
Add unit tests
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Tue, 06 Dec 2011 18:42:11 +0100 |
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% test csd for ao/noisegen2D %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: Output a model for mdc1 cross spectral density % % CALL: % [TF,CSD] = get_test_csd_ao_noisegen2D(pl) % % PARAMETERS: 'fs' - Sampling frequency % 'f1' - the start frequency % 'f2' - the stop frequency % 'nf' - number of evaluation points % 'scale' - spacing of frequencies: 'lin' or 'log' % or % 'f' - a vector of frequency values or an AO % whereby the x-axis is taken for the frequency values % % OUTPUTS: % CSD - a 2x2 matrix of analysis objects containing CSD % models % TF - a 2x2 matrix of analysis objects containing TF % models % % M-FILE INFO: Get information about this methods by calling % >> ao.getInfo('get_test_csd_ao_noisegen2D') % % Get information about a specified set-plist by calling: % >> ao.getInfo('get_test_csd_ao_noisegen2D', 'none') % % VERSION: $Id: get_test_csd_ao_noisegen2D.m,v 1.4 2011/03/24 19:37:53 ingo Exp $ % % % HISTORY: 22-12-2008 L Ferraioli % Creation % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = get_test_csd_ao_noisegen2D(varargin) % Check if this is a call for parameters if utils.helper.isinfocall(varargin{:}) varargout{1} = getInfo(varargin{3}); return end import utils.const.* utils.helper.msg(msg.MNAME, 'running %s/%s', mfilename('class'), mfilename); % Collect input variable names in_names = cell(size(varargin)); for ii = 1:nargin,in_names{ii} = inputname(ii);end % Collect all AOs and plists [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); pl = utils.helper.collect_objects(varargin(:), 'plist', in_names); % Get frequency vector f = find(pl, 'f'); if isa(f, 'ao') && (isa(f.data, 'fsdata') || isa(f.data, 'xydata')) f = f.data.getX; end % Get sampling frequency fs = find(pl, 'fs'); if isempty(f) % Compute from frequency range f1 = find(pl, 'f1'); f2 = find(pl, 'f2'); ndata = find(pl, 'nf'); scale = find(pl, 'scale'); switch scale case 'lin' f = linspace(f1, f2, ndata); case 'log' f = logspace(log10(f1), log10(f2), ndata); end end % Models response calculation tf11 = calcTF11(f,fs); tf12 = calcTF12(f,fs); tf21 = calcTF21(f,fs); tf22 = calcTF22(f,fs); % CSD calculation csd11 = tf11.*conj(tf11)+tf12.*conj(tf12); csd12 = tf11.*conj(tf21)+tf12.*conj(tf22); csd22 = tf22.*conj(tf22)+tf21.*conj(tf21); csd21 = conj(csd12); csd11.setName('CSD11'); csd12.setName('CSD12'); csd21.setName('CSD21'); csd22.setName('CSD22'); % Output data if nargout == 1 varargout{1} = [csd11 csd12;csd21 csd22]; elseif nargout == 2 varargout{1} = [csd11 csd12;csd21 csd22]; varargout{2} = [tf11 tf12;tf21 tf22]; end end %-------------------------------------------------------------------------- % Get Info Object %-------------------------------------------------------------------------- function ii = getInfo(varargin) if nargin == 1 && strcmpi(varargin{1}, 'None') sets = {}; pls = []; elseif nargin == 1&& ~isempty(varargin{1}) && ischar(varargin{1}) sets{1} = varargin{1}; pls = getDefaultPlist(sets{1}); else sets = {'List', 'Range'}; pls = []; for kk=1:numel(sets) pls = [pls getDefaultPlist(sets{kk})]; end end % Build info object ii = minfo(mfilename, 'ao', '', utils.const.categories.mdc01, '$Id: get_test_csd_ao_noisegen2D.m,v 1.4 2011/03/24 19:37:53 ingo Exp $', sets, pls); ii.setModifier(false); end %-------------------------------------------------------------------------- % Get Default Plist %-------------------------------------------------------------------------- function plo = getDefaultPlist(set) switch set case 'List' plo = plist('fs', 10, 'f', []); case 'Range' plo = plist('fs', 10, 'f1', -1, 'f2', -1, 'nf', 1000, 'scale', 'log'); otherwise error('### Unknown set [%s] for a default list.', set); end 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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function tf21 = calcTF21(f,fs) % Model Stefano Tf21 dRes21 = [-1.80035241582968e-016 + 1.99543917791863e-015i; -1.80035241582968e-016 - 1.99543917791863e-015i; -1.85590889333759e-013 - 1.23844418827409e-014i; -1.85590889333759e-013 + 1.23844418827409e-014i; 5.03656596876842e-013 ; -2.62470963499904e-013 + 2.30024232938878e-012i; -2.62470963499904e-013 - 2.30024232938878e-012i; -9.83780507870955e-018 ; 3.40426735130194e-021 ; 9.78322351492755e-018 ; -1.65010934542937e-020 ; 2.60918565203438e-015 + 1.0546609464659e-015i; 2.60918565203438e-015 - 1.0546609464659e-015i; 3.18105585405455e-014 + 2.48839990780042e-013i; 3.18105585405455e-014 - 2.48839990780042e-013i; 3.23021641947666e-013 ; 4.81265000078114e-016 - 3.18269170053848e-017i; 4.81265000078114e-016 + 3.18269170053848e-017i; 5.16260024128201e-018]; dPoles21 = [0.872004077421604 - 0.110344282822693i; 0.872004077421604 + 0.110344282822693i; 0.956884129232757 - 0.0225532091775074i; 0.956884129232757 + 0.0225532091775074i; 0.966514825697177 ; 0.995140550419744 - 0.000755127639524413i; 0.995140550419744 + 0.000755127639524413i; 0.999981802194393 ; 0.99999936576546 ; 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]; dDTerms21 = 0; % response calculation pfparams.type = 'disc'; pfparams.freq = f; pfparams.fs = fs; pfparams.res = dRes21; pfparams.pol = dPoles21; pfparams.dterm = dDTerms21; pfr = utils.math.pfresp(pfparams); mtf21 = pfr.resp; % building AOs tf21 = ao(plist('xvals', f, 'yvals', mtf21, 'fs', fs, 'type', 'fsdata')); % name for this object tf21.setName('TF21'); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function tf22 = calcTF22(f,fs) % Model Stefano Tf22 dRes22 = [1.1284521501259e-014; -3.72133611555879e-014 - 2.08232683444075e-014i; -3.72133611555879e-014 + 2.08232683444075e-014i; 9.84930639106637e-014 - 1.46640810672565e-013i; 9.84930639106637e-014 + 1.46640810672565e-013i; 2.51323684013671e-014 ; -5.64078525288305e-014 ; -1.62476406586366e-014 ; -1.08424815979566e-011 + 8.32328079357669e-012i; -1.08424815979566e-011 - 8.32328079357669e-012i; 2.41831559776112e-011]; dPoles22 = [0.988511243978897; 0.997305870640646 + 0.00211760900132725i; 0.997305870640646 - 0.00211760900132725i; 0.999626453270255 + 0.0008125673525946i; 0.999626453270255 - 0.0008125673525946i; 0.999999366366222 ; 0.999981706320212 ; 0.99992421574188 ; 0.477898460791003 - 0.311001926610074i; 0.477898460791003 + 0.311001926610074i; 0]; dDTerms22 = 0; % response calculation pfparams.type = 'disc'; pfparams.freq = f; pfparams.fs = fs; pfparams.res = dRes22; pfparams.pol = dPoles22; pfparams.dterm = dDTerms22; pfr = utils.math.pfresp(pfparams); mtf22 = pfr.resp; % building AOs tf22 = ao(plist('xvals', f, 'yvals', mtf22, 'fs', fs, 'type', 'fsdata')); % name for this object tf22.setName('TF22'); end