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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% Test script for zDomainFit % % L. Ferraioli 02-12-08 % % $Id: test_ao_zDomainFit_1.m,v 1.7 2009/12/02 16:50:49 luigi Exp $ % %% Building a frequency response % Create a frequency-series AO % pl_data = plist('fsfcn', '0.01./(0.01+f)', 'f1', 1e-6, 'f2', 5, 'nf', 1000); pl_data = plist('fsfcn', '(1e-3./(f).^2 + 1e3./(0.001+f) + 1e5.*f.^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 100); a = ao(pl_data); a.setName; % iplot(a) %% Fitting 1 % Check if Mean Square Error is lower than FITTOL and its relative % variation is lower than MSEVARTOL % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',40,... 'minorder',10,... 'maxorder',25,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-4,... % check if MSE is lower than 1e-4 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','off',... 'CheckProgress','off'); % Do fit mod = zDomainFit(a, pl_fit); %% Fitting 2 % Check if Rresiduals log difference is larger than FITTOL and MSE relative % variation is lower than MSEVARTOL % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',40,... 'minorder',10,... 'maxorder',25,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','RLD',... 'FITTOL',1,... % check if RLD is larger than 1 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','off',... 'CheckProgress','off'); % Do fit mod = zDomainFit(a, pl_fit); %% Fitting 3 % Check if Rresiduals spectral flatness is larger than FITTOL and MSE relative % variation is lower than MSEVARTOL % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',40,... 'minorder',10,... 'maxorder',25,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','RSF',... 'FITTOL',0.03,... % check if RSF is larger than 0.03 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','off',... 'CheckProgress','off'); % Do fit mod = zDomainFit(a, pl_fit); %% Comparison resp = mod.procinfo.find('FIT_RESP'); resids = mod.procinfo.find('FIT_RESIDUALS'); mse = mod.procinfo.find('FIT_MSE'); iplot(a,resp,abs(resids)) %% Testing the ability of reproducing models clear all % Define a pratial fraction miir object f = logspace(-6,log10(5),30); fs = 10; res = [0.7 0.2+0.01i 0.2-0.01i]; poles = [0.5 0.1+0.07i 0.1-0.07i]; tmod(3,1) = miir; for ii = 1:3 tmod(ii,1) = miir(res(ii),[1 -poles(ii)],fs); end btmod = filterbank(plist('filters',tmod,'type','parallel')); rtmod = resp(btmod.filters,plist('bank','parallel','f',f.')); % do the fit on the response fs = 10; plstd2 = plist('FS',fs,... 'AutoSearch','off',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',60,... 'minorder',3,... 'maxorder',3,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-3,... % check if MSE is lower than 1e-3 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','off',... 'CheckProgress','off'); out = zDomainFit(rtmod,plstd2); % Check that coefficients are equal within a tolerance for kk=1:numel(out.filters) if any(abs(tmod(kk).a - out.filters(kk).a)>1e-6) disp([num2str(kk) 'numerator coefficients are not consistent']); else disp([num2str(kk) 'numerator coefficients are consistent']) end if any(abs(tmod(kk).b - out.filters(kk).b)>1e-6) disp([num2str(kk) 'denominator coefficients are not consistent']); else disp([num2str(kk) 'denominator coefficients are consistent']) end end %% help example pl = plist('fsfcn', '(1e-3./(2.*pi.*1i.*f).^2 + 1e3./(0.001+2.*pi.*1i.*f) + 1e5.*(2.*pi.*1i.*f).^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 100); a = ao(pl); a.setName; % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',50,... 'minorder',15,... 'maxorder',30,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-2,... 'MSEVARTOL',1e-1,... 'Plot','on',... 'ForceStability','on',... 'CheckProgress','off'); % Do fit mod = zDomainFit(a, pl_fit); %% help test pl = plist('fsfcn', '(1e-3./(2.*pi.*1i.*f).^2 + 1e3./(0.001+2.*pi.*1i.*f) + 1e5.*(2.*pi.*1i.*f).^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 100); a = ao(pl); a.setName; % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',50,... 'minorder',15,... 'maxorder',30,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-2,... 'MSEVARTOL',1e-1,... 'Plot','on',... 'ForceStability','on',... 'CheckProgress','off'); % Do fit mod = zDomainFit(a, pl_fit);