annotate m-toolbox/classes/@ao/sineParams.m @ 45:a59cdb8aaf31 database-connection-manager

Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % SINEPARAMS estimates parameters of sinusoids
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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: SINEPARAMS estimates the parameters of the sinusoids in the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % time series. Number of sinusoids needs to be specified.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % CALL: b = sineParams(a,pl)
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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>
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9 % INPUTS: a - input AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % pl - parameter list (see below)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % OUTPUTs: b - pest object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'sineParams')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % VERSION: $Id: sineParams.m,v 1.9 2011/04/08 08:56:13 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 function varargout = sineParams(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 [aos, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 %%% Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 bs = copy(aos, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 pl = parse(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 % check (current version with only one AO)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 if numel(aos) >1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 error('### Current version of ''sineParams'' works only with one AO')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 % get parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 Nsine = find(pl, 'N');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 realSine = find(pl, 'real');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 method = find(pl,'method');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 nonlin = find(pl,'non-linear');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 % check number of sinusoids
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 if isempty(Nsine)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 error('### You need to set the number of sinusoids ''N'' ')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 if realSine
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 Nexp = 2*Nsine;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 Nexp = Nsine;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 f =[];A=[];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 % for i = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 switch method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 case 'MUSIC'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 % MUSIC algorithm
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 [w,pow,w_mse,pow_mse] = utils.math.rootmusic(bs.y,Nexp,bs.fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 if realSine
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 f = w(1:2:end);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 df = w_mse(1:2:end);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 % A = pow;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 % dA = pow_mse;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 A = sqrt(2*pow); % from the expression for power in a sinusoid
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 dA = 1/sqrt(2*pow)*pow_mse;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 f = w;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 df = w_mse;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 A = sqrt(2*pow); % from the expression for power in a sinusoid
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 dA = A*sqrt(2/pow)*pow_mse;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 case 'ESPRIT'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 % p = 1; % num. sinusoid
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 % N = 50;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % m = xcov(c.y,N-1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 % clear cmat
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 % for i =1:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 % cmat(i,:) = m(N-(i-1):end-(i-1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 % end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 % [U,S,UT] = svd(cmat);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % D = diag(S);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 % Ls = D(1:2*p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 % Us = U(:,1:2*p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 % A1 = Us(1:end-1,:);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 % A2 = Us(2:end,:);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 % M = A1\A2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 % freq = imag(-log(eig(M))/2/pi*fs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 % error = real(-log(eig(M))/2/pi*fs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 case 'IFFT'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 % % fft
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 % p = psd(phi(i),plist('win','Hanning','scale','AS','Navs',1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 % [m,index] = max(p.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 % ratio between max. and next value
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 % alpha = p.y(index+1)/p.y(index);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 % xm = (2*alpha-1)/(alpha+1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 % frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 % f(i) = (i+xm)/phi(i).nsecs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 % amplitude
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 % A(i) = abs(2*pi*xm*(1-xm)/sin(pi*xm)*exp(-pi*1i*xm)*(1*xm)*p.y(i));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 % end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 % create output pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 mdl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 p = pest();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 for i = 1:Nsine
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 Cname = sprintf('C%d',i);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 fname = sprintf('f%d',i);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 Aname = sprintf('A%d',i);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 pname = sprintf('phi%d',i);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 % setY
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 p.setYforParameter(Cname,0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 p.setYforParameter(Aname,A(i));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 p.setYforParameter(fname,f(i));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 p.setYforParameter(pname,0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 % errors for single sinusoid only, error is the sqrt(mse)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 if Nsine == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 p.setDyForParameter(Cname,inf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 p.setDyForParameter(Aname,sqrt(dA(i)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 p.setDyForParameter(fname,sqrt(df(i)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 p.setDyForParameter(pname,inf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 % smodel for each sinusoid
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 m = smodel(sprintf('%s + %s*sin(2*pi*%s*t+%s)',Cname,Aname,fname,pname));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 m.setXunits('s');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 m.setXvar('t');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 m.setXvals(bs.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 m.setParams({Cname,Aname,fname,pname},[0 A(i) f(i) 0]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 % optional non-linear
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163 if nonlin
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 pl = plist('Function',m);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 pnl = xfit(bs,pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 p.setY(pnl.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 p.setDy(pnl.dy);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 p.setCorr(pnl.corr);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 p.setCov(pnl.cov);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 p.setDof(pnl.dof);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 p.setChi2(pnl.chi2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 % set values in model as well
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 m.setValues(pnl.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 mdl = [mdl m];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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177 % set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 p.name = sprintf('sineParams(%s)', ao_invars{:});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 % set models
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 p.setModels(mdl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 p.addHistory(getInfo('None'), pl, ao_invars(:), bs(:).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 % Set outputs
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 if nargout > 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 varargout{1} = p;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 pl = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 pl = getDefaultPlist;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: sineParams.m,v 1.9 2011/04/08 08:56:13 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 % Get Default Plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 pl = buildplist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 plout = pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 % number of sinusoids
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 p = param({'N', 'Number of sinusoids/complex exp. in the time series'},paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 % number of sinusoids
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 p = param({'real', 'Set to true if working with real sinusoids'},paramValue.TRUE_FALSE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 % number of sinusoids
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 p = param({'method', ['Choose one of the following methods:<ul>', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 '<li>MUSIC - MUltiple SIgnal Classification algorithm </li>']}, {1, {'MUSIC'}, paramValue.SINGLE});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 % non-linear
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 p = param({'non-linear','Set to true to perform non-linear fit'},...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 paramValue.FALSE_TRUE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 % END
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241