line source
% Test script for sDomainFit
%
% L. Ferraioli 02-12-08
%
% $Id: test_ao_sDomainFit_1.m,v 1.5 2009/08/27 11:39:23 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', 1000);
a = ao(pl_data);
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('AutoSearch','on',...
'StartPoles',[],...
'StartPolesOpt','clog',...
'maxiter',40,...
'minorder',15,...
'maxorder',20,...
'weights',[],...
'weightparam','abs',...
'CONDTYPE','MSE',...
'FITTOL',1e-3,...
'MSEVARTOL',1e-2,...
'Plot','on',...
'ForceStability','off',...
'direct term','off',...
'CheckProgress','off');
% Do fit
mod = sDomainFit(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('AutoSearch','on',...
'StartPoles',[],...
'StartPolesOpt','clog',...
'maxiter',40,...
'minorder',15,...
'maxorder',20,...
'weights',[],...
'weightparam','abs',...
'CONDTYPE','RLD',...
'FITTOL',1,...
'MSEVARTOL',1e-2,...
'Plot','off',...
'ForceStability','off',...
'direct term','off',...
'CheckProgress','off');
% Do fit
mod = sDomainFit(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('AutoSearch','on',...
'StartPoles',[],...
'StartPolesOpt','clog',...
'maxiter',40,...
'minorder',15,...
'maxorder',20,...
'weights',[],...
'weightparam','abs',...
'CONDTYPE','RSF',...
'FITTOL',0.03,...
'MSEVARTOL',1e-2,...
'Plot','off',...
'ForceStability','off',...
'direct term','off',...
'CheckProgress','off');
% Do fit
mod = sDomainFit(a, pl_fit);
%% Comparison
resp = mod.objs.procinfo.find('FIT_RESP');
resids = mod.objs.procinfo.find('FIT_RESIDUALS');
mse = mod.objs.procinfo.find('FIT_MSE');
iplot(a,resp,abs(resids))
iplot(mse,plist('Yscales','log'))
%% Help test
pl_data = plist('fsfcn', '(1e-3./(f).^2 + 1e3./(0.001+f) + 1e5.*f.^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 1000);
a = ao(pl_data);
a.setName;
% Fitting parameter list
pl_fit = plist(...
'AutoSearch','on',...
'StartPolesOpt','clog',...
'maxiter',50,...
'minorder',7,...
'maxorder',15,...
'weightparam','abs',...
'CONDTYPE','MSE',...
'FITTOL',1e-3,...
'MSEVARTOL',1e-2,...
'Plot','on',...
'ForceStability','off');
% Do fit
mod = sDomainFit(a, pl_fit);