annotate m-toolbox/classes/@ao/crbound.m @ 40:977eb37f31cb database-connection-manager

User friendlier errors from utils.mysql.connect
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 18:04:03 +0100
parents f0afece42f48
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % CRBOUND computes the inverse of the Fisher Matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: CRBOUND computes the Cramer-Rao lowe bound for parametric
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % model given the input signals and the noise. The method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % accepts 2D (2 input/2 output) models and 1D models
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % (1 input/1 output) and (2 input/1 output)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 % CALL: bs = crbound(in,noise,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % INPUTS: in - analysis objects with input signals to the system
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % (x1) if 1 input
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % (x2) if 2 input
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 % noise - analysis objects with measured noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % (x1) if 1 input: S11
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % (x4) if 2 input: (S11,S12,S21,S22)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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17 % model - symbolic model (smodel) containing the evaluated
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 % transfer function models
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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19 % (x1) if 1 input/1 output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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20 % (x2) if 2 input/1 output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % (x4) if 2 input/2 output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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22 % pl - parameter list
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 % OUTPUTS: bs - covariance matrix AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'crbound')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % VERSION: $Id: crbound.m,v 1.13 2011/04/08 08:56:17 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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30 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 function varargout = crbound(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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43 % Method can not be used as a modifier
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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44 if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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45 error('### crbound cannot be used as a modifier. Please give an output variable.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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46 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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48 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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52 % Collect all AOs smodels and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 pl = parse(pl, getDefaultPlist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 % get params
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 params = find(pl,'params');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 numparams = find(pl,'paramsValues');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 mdl2 = find(pl,'models');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 bmdl = find(pl,'built-in');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 f1 = find(pl,'f1');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 f2 = find(pl,'f2');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 freqs = find(pl,'frequencies');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 pseudoinv = find(pl,'pinv');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 tol = find(pl,'tol');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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68 % ninputs = find(pl,'Ninputs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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70
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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71 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 if ~isempty(mdl2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 mdl = copy(mdl2, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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76
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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77 if numel(bs) == 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78 % implementing here for 1D
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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79 in(1) = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 n(1) = bs(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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81
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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83
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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84 % fft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 i1 = fft(in(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86 Nsamples = length(i1.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 if ~isempty(f1) && ~isempty(f2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 i1 = split(i1,plist('frequencies',[f1 f2]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 elseif ~isempty(freqs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 i1 = split(i1,plist('frequencies',freqs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 i1 = join(i1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 % get frequency vector
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 f = i1.x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 if ~isempty(mdl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 % get model
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 h(1) = mdl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 h(1).setXvals(f);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 error('### One model should be introduced, please check the help.')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 elseif numel(bs) == 3
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 if numel(mdl) == 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 in(1) = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 in(2) = bs(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 n(1) = bs(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 % fft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 i1 = fft(in(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 Nsamples = length(i1.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 i2 = fft(in(2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 % Get rid of fft f =0, reduce frequency range if needed
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 if ~isempty(f1) && ~isempty(f2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 i1 = split(i1,plist('frequencies',[f1 f2]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 i2 = split(i2,plist('frequencies',[f1 f2]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 elseif ~isempty(freqs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 i1 = split(i1,plist('frequencies',freqs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 i1 = join(i1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 i2 = split(i2,plist('frequencies',freqs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 i2 = join(i2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 % get frequency vector
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 f = i1.x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 if ~isempty(mdl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 % compute built-in matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 h(1) = mdl(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 h(1).setXvals(f);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 h(2) = mdl(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 h(2).setXvals(f);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
137 error('### One model should be introduced, please check the help.')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 elseif numel(mdl) == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 error('Check the model or use crbound with the matrix class')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
142 % Get input objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 elseif numel(bs) == 4
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 in(1) = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 in(2) = bs(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 n(1) = bs(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 n(2) = bs(4);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 % fft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 i1 = fft(in(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 Nsamples = length(i1.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 i2 = fft(in(2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 % Get rid of fft f =0, reduce frequency range if needed
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
155 if ~isempty(f1) && ~isempty(f2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 i1 = split(i1,plist('frequencies',[f1 f2]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 i2 = split(i2,plist('frequencies',[f1 f2]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 elseif ~isempty(freqs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 i1 = split(i1,plist('frequencies',freqs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 i1 = join(i1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 i2 = split(i2,plist('frequencies',freqs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 i2 = join(i2);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 % get frequency vector
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 f = i1.x;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 if ~isempty(bmdl)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 % compute built-in smodels
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 for i = 1:4
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 if strcmp(bmdl{i},'0');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 h(i) = smodel('0');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 h(i).setXvar('f');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 h(i).setXvals(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 h(i) = smodel(plist('built-in',bmdl{i},'f',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 % set all params to all models. It is not true but harmless
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 for k = 1:numel(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 vecparams(k) = {numparams(k)*ones(size(f))};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 h(i).setParams(params,vecparams);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 elseif ~isempty(mdl)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 % compute built-in matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 h(1) = mdl{1};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 h(1).setXvals(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 h(2) = mdl{2};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 h(2).setXvals(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 h(3) = mdl{3};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 h(3).setXvals(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 h(4) = mdl{4};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 h(4).setXvals(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 error('### The number of input in crbound objects is not correct, please check the help.')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 % Set params
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 for i = 1:numel(h)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 h(i).setParams(params,numparams);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 if numel(bs) == 2
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 % Compute psd
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 n1 = psd(n(1), pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 % interpolate to fft frequencies
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 S11 = interp(n1,plist('vertices',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 for i = 1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 utils.helper.msg(msg.IMPORTANT, sprintf('computing symbolic differentiation with respect %s',params{i}), mfilename('class'), mfilename);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 % differentiate symbolically
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 dH11 = diff(h(1),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 % evaluate
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 d11(i) = eval(dH11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 % get some parameters used below
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 fs = S11.fs;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 % N = len(S11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 Navs = find(pl,'Navs');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 % scaling of PSD
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 % PSD = 2/(N*fs) * FFT *conj(FFT)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 C11 = Nsamples*fs/2.*S11.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 InvS11 = 1./C11;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 % compute Fisher Matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 for i =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 for j =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 v1v1 = conj(d11(i).y.*i1.y).*(d11(j).y.*i1.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 FisMat(i,j) = sum(real(InvS11.*v1v1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 elseif numel(bs) == 3
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 if numel(mdl) == 2
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 % Compute psd
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 n1 = psd(n(1), pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 % interpolate to fft frequencies
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 S11 = interp(n1,plist('vertices',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 for i = 1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 utils.helper.msg(msg.IMPORTANT, sprintf('computing symbolic differentiation with respect %s',params{i}), mfilename('class'), mfilename);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 % differentiate symbolically
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 dH11 = diff(h(1),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 dH12 = diff(h(2),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255 % evaluate
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 d11(i) = eval(dH11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 d12(i) = eval(dH12);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 % get some parameters used below
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 fs = S11.fs;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 % N = len(S11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 Navs = find(pl,'Navs');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 % scaling of PSD
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266 % PSD = 2/(N*fs) * FFT *conj(FFT)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267 C11 = Nsamples*fs/2.*S11.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269 % compute elements of inverse cross-spectrum matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 InvS11 = 1./C11;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272 % compute Fisher Matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 for i =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274 for j =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 v1v1 = conj(d11(i).y.*i1.y + d12(i).y.*i2.y).*(d11(j).y.*i1.y + d12(j).y.*i2.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277 FisMat(i,j) = sum(real(InvS11.*v1v1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 elseif numel(mdl) == 1
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282 error('Please check model sizes')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
284
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
286 elseif numel(bs) == 4
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
287
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
288 % Compute psd
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
289 n1 = psd(n(1), pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
290 n2 = psd(n(2), pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
291 n12 = cpsd(n(1),n(2), pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
292
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
293 % interpolate to fft frequencies
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
294 S11 = interp(n1,plist('vertices',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
295 S12 = interp(n12,plist('vertices',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
296 S22 = interp(n2,plist('vertices',f));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
297 S21 = conj(S12);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
298
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
299 for i = 1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
300 utils.helper.msg(msg.IMPORTANT, sprintf('computing symbolic differentiation with respect %s',params{i}), mfilename('class'), mfilename);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
301 % differentiate symbolically
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
302 dH11 = diff(h(1),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
303 dH12 = diff(h(2),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
304 dH21 = diff(h(3),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
305 dH22 = diff(h(4),params{i});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
306 % evaluate
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
307 d11(i) = eval(dH11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
308 d12(i) = eval(dH12);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
309 d21(i) = eval(dH21);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
310 d22(i) = eval(dH22);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
311 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
312
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
313 % get some parameters used below
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
314 fs = S11.fs;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
315 % N = len(S11);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
316 Navs = find(pl,'Navs');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
317
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
318 % scaling of PSD
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
319 % PSD = 2/(N*fs) * FFT *conj(FFT)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
320 C11 = Nsamples*fs/2.*S11.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
321 C22 = Nsamples*fs/2.*S22.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
322 C12 = Nsamples*fs/2.*S12.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
323 C21 = Nsamples*fs/2.*S21.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
324
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
325 % compute elements of inverse cross-spectrum matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
326 InvS11 = (C22./(C11.*C22 - C12.*C21));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
327 InvS22 = (C11./(C11.*C22 - C12.*C21));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
328 InvS12 = (C21./(C11.*C22 - C12.*C21));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
329 InvS21 = (C12./(C11.*C22 - C12.*C21));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
330
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
331 % compute Fisher Matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
332 for i =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
333 for j =1:length(params)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
334
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
335 v1v1 = conj(d11(i).y.*i1.y + d12(i).y.*i2.y).*(d11(j).y.*i1.y + d12(j).y.*i2.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
336 v2v2 = conj(d21(i).y.*i1.y + d22(i).y.*i2.y).*(d21(j).y.*i1.y + d22(j).y.*i2.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
337 v1v2 = conj(d11(i).y.*i1.y + d12(i).y.*i2.y).*(d21(j).y.*i1.y + d22(j).y.*i2.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
338 v2v1 = conj(d21(i).y.*i1.y + d22(i).y.*i2.y).*(d11(j).y.*i1.y + d12(j).y.*i2.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
339
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
340 FisMat(i,j) = sum(real(InvS11.*v1v1 + InvS22.*v2v2 - InvS12.*v1v2 - InvS21.*v2v1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
341 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
342 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
343
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
344 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
345
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
346 % inverse is the optimal covariance matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
347 if pseudoinv && isempty(tol)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
348 cov = pinv(FisMat);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
349 elseif pseudoinv
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
350 cov = pinv(FisMat,tol);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
351 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
352 cov = FisMat\eye(size(FisMat));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
353 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
354
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
355 % create AO
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
356 out = ao(cov);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
357 % Fisher Matrix in the procinfo
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
358 out.setProcinfo(plist('FisMat',FisMat));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
359
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
360 varargout{1} = out;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
361 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
362
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
363
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
364 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
365 % Get Info Object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
366 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
367 function ii = getInfo(varargin)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
368 if nargin == 1 && strcmpi(varargin{1}, 'None')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
369 sets = {};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
370 pls = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
371 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
372 sets = {'Default'};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
373 pls = getDefaultPlist;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
374 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
375 % Build info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
376 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: crbound.m,v 1.13 2011/04/08 08:56:17 hewitson Exp $', sets, pls);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
377 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
378
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
379 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
380 % Get Default Plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
381 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
382
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
383 function plout = getDefaultPlist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
384 persistent pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
385 if exist('pl', 'var')==0 || isempty(pl)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
386 pl = buildplist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
387 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
388 plout = pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
389 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
390
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
391 function pl = buildplist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
392 pl = plist.WELCH_PLIST;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
393 pset(pl,'Navs',1)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
394
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
395 p = plist({'params', 'Parameters of the model'}, paramValue.EMPTY_STRING);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
396 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
397
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
398 p = plist({'models','Symbolic models of the system'}, paramValue.EMPTY_STRING);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
399 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
400
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
401 p = plist({'frequencies','Array of start/sop frequencies where the analysis is performed'}, paramValue.EMPTY_STRING);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
402 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
403
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
404 p = plist({'pinv','Use the Penrose-Moore pseudoinverse'}, paramValue.TRUE_FALSE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
405 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
406
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
407 p = plist({'tol','Tolerance for the Penrose-Moore pseudoinverse'}, paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
408 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
409
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
410 end