comparison m-toolbox/test/test_ao_sDomainFit_1.m @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 % Test script for sDomainFit
2 %
3 % L. Ferraioli 02-12-08
4 %
5 % $Id: test_ao_sDomainFit_1.m,v 1.5 2009/08/27 11:39:23 luigi Exp $
6 %
7 %% Building a frequency response
8
9 % Create a frequency-series AO
10 % pl_data = plist('fsfcn', '0.01./(0.01+f)', 'f1', 1e-6, 'f2', 5, 'nf', 1000);
11 pl_data = plist('fsfcn', '(1e-3./(f).^2 + 1e3./(0.001+f) + 1e5.*f.^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 1000);
12 a = ao(pl_data);
13
14 iplot(a)
15
16 %% Fitting 1
17 % Check if Mean Square Error is lower than FITTOL and its relative
18 % variation is lower than MSEVARTOL
19
20 % Fitting parameter list
21 pl_fit = plist('AutoSearch','on',...
22 'StartPoles',[],...
23 'StartPolesOpt','clog',...
24 'maxiter',40,...
25 'minorder',15,...
26 'maxorder',20,...
27 'weights',[],...
28 'weightparam','abs',...
29 'CONDTYPE','MSE',...
30 'FITTOL',1e-3,...
31 'MSEVARTOL',1e-2,...
32 'Plot','on',...
33 'ForceStability','off',...
34 'direct term','off',...
35 'CheckProgress','off');
36
37 % Do fit
38 mod = sDomainFit(a, pl_fit);
39
40 %% Fitting 2
41 % Check if Rresiduals log difference is larger than FITTOL and MSE relative
42 % variation is lower than MSEVARTOL
43
44 % Fitting parameter list
45 pl_fit = plist('AutoSearch','on',...
46 'StartPoles',[],...
47 'StartPolesOpt','clog',...
48 'maxiter',40,...
49 'minorder',15,...
50 'maxorder',20,...
51 'weights',[],...
52 'weightparam','abs',...
53 'CONDTYPE','RLD',...
54 'FITTOL',1,...
55 'MSEVARTOL',1e-2,...
56 'Plot','off',...
57 'ForceStability','off',...
58 'direct term','off',...
59 'CheckProgress','off');
60
61 % Do fit
62 mod = sDomainFit(a, pl_fit);
63
64 %% Fitting 3
65 % Check if Rresiduals spectral flatness is larger than FITTOL and MSE relative
66 % variation is lower than MSEVARTOL
67
68 % Fitting parameter list
69 pl_fit = plist('AutoSearch','on',...
70 'StartPoles',[],...
71 'StartPolesOpt','clog',...
72 'maxiter',40,...
73 'minorder',15,...
74 'maxorder',20,...
75 'weights',[],...
76 'weightparam','abs',...
77 'CONDTYPE','RSF',...
78 'FITTOL',0.03,...
79 'MSEVARTOL',1e-2,...
80 'Plot','off',...
81 'ForceStability','off',...
82 'direct term','off',...
83 'CheckProgress','off');
84
85 % Do fit
86 mod = sDomainFit(a, pl_fit);
87
88 %% Comparison
89
90 resp = mod.objs.procinfo.find('FIT_RESP');
91 resids = mod.objs.procinfo.find('FIT_RESIDUALS');
92 mse = mod.objs.procinfo.find('FIT_MSE');
93 iplot(a,resp,abs(resids))
94 iplot(mse,plist('Yscales','log'))
95
96 %% Help test
97
98 pl_data = plist('fsfcn', '(1e-3./(f).^2 + 1e3./(0.001+f) + 1e5.*f.^2).*1e-10', 'f1', 1e-6, 'f2', 5, 'nf', 1000);
99 a = ao(pl_data);
100 a.setName;
101
102 % Fitting parameter list
103 pl_fit = plist(...
104 'AutoSearch','on',...
105 'StartPolesOpt','clog',...
106 'maxiter',50,...
107 'minorder',7,...
108 'maxorder',15,...
109 'weightparam','abs',...
110 'CONDTYPE','MSE',...
111 'FITTOL',1e-3,...
112 'MSEVARTOL',1e-2,...
113 'Plot','on',...
114 'ForceStability','off');
115
116 % Do fit
117 mod = sDomainFit(a, pl_fit);
118
119
120
121