line source
% 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);