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annotate m-toolbox/classes/@ao/integrate.m @ 10:75007001cbfe database-connection-manager

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Check for binary only objects
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % INTEGRATE integrates the data in AO.
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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: INTEGRATE integrates the data in AO. The result is a single
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % valued AO.
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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: bs = integrate(a1,a2,a3,...,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % bs = integrate(as,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % bs = as.integrate(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: aN - input analysis objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % as - input analysis objects array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % pl - input parameter list
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % OUTPUTS: bs - array of analysis objects, one for each input,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % containing the integrate data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 %
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18 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'integrate')">Parameters Description</a>
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19 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % VERSION: $Id: integrate.m,v 1.11 2011/04/08 08:56:11 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 function varargout = integrate(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 end
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 [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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41 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 pl = parse(pl, getDefaultPlist());
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48
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 % Extract method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 method = find(pl, 'method');
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52
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 for jj = 1:numel(bs)
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % Diff can't work for cdata objects since we need x data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if isa(bs(jj).data, 'cdata')
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57 end
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58
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 % Compute derivative with selected method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 yu = bs(jj).data.yunits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 switch lower(method)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 case 'trapezoidal'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 if isa(bs(jj).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 y = bs(jj).data.getY;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 bs(jj).data = cdata(trapz(y));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 else
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67 x = bs(jj).data.getX;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 y = bs(jj).data.getY;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 bs(jj).data = cdata(trapz(x,y));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 bs(jj).setYunits(yu);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 error('### Unknown method for computing the derivative.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 end
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75
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76
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77 % name for this object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 bs(jj).name = sprintf('integrate(%s)', ao_invars{jj});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 % add history
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80 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist);
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81 end
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 bs.clearErrors;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 varargout{ii} = bs(ii);
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91 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 end
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96 end
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97
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98 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 % Get Info Object
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100 %--------------------------------------------------------------------------
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101 function ii = getInfo(varargin)
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102
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 else
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107 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 pl = getDefaultPlist;
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109 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 % Build info object
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111 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: integrate.m,v 1.11 2011/04/08 08:56:11 hewitson Exp $', sets, pl);
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112 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 %--------------------------------------------------------------------------
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115 % Get Default Plist
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116 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 persistent pl;
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119 if exist('pl', 'var')==0 || isempty(pl)
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120 pl = buildplist();
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121 end
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122 plout = pl;
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123 end
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 function pl = buildplist()
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126 pl = plist();
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127
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128 % Method
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129 p = param({'method',['The method to use. Choose between:<ul>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 '<li>''Trapezoidal'' - integration using MATLAB''s trapz function</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 '</ul>' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 ]}, {1, {'Trapezoidal'}, paramValue.SINGLE});
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133 pl.append(p);
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134
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135 end
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136