Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/average.m @ 33:5e7477b94d94 database-connection-manager

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % AVERAGE averages aos point-by-point
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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4 % DESCRIPTION: AVERAGE averages aos point-by-point.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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5 % For each point, an average is taken over all the input objects.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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6 % The uncertainty is calculated as the standard deviation of the mean.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % The objects must have the same length and yunits.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 % s1: 2 1 2 5 2 3 3
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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10 % s2: 7 2 3 4 2 1 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % s3: 0 0 7 6 5 5 5
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % ===================
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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13 % out: 3 1 4 5 3 3 3
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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15 % CALL: b = average(a1, a2, a3, ..., pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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16 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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17 % EXAMPLES:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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19 % a1 = ao(plist('waveform','noise', 'nsecs', 1000,'fs',1,'yunits','m'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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20 % a2 = ao(plist('waveform','noise', 'nsecs', 1000,'fs',1,'yunits','m'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % a3 = ao(plist('waveform','noise', 'nsecs', 1000,'fs',1,'yunits','m'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % a4 = average(a1,a2,a3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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23 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'average')">Parameters Description</a>
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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>
parents:
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26 % VERSION: $Id: average.m,v 1.5 2011/04/08 08:56:12 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 function varargout = average(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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35 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 % Check if the method was called by another method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 callerIsMethod = utils.helper.callerIsMethod;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 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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43
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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>
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45 error('### average cannot be used as a modifier. Please give an output variable.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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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 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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 pl = combine(pl, getDefaultPlist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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59 % Make a copy of the input objects history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 inhists = [as(:).hist];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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62 % Copy the input objects so we inherit all properties
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 b = copy(as(1), true);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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65 % Collect the data, and check that:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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66 % - all objects belong to the same class
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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67 % - all objects have the same yunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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68 % - all objects have the same length
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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 Nobj = numel(as);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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71 data_class = class(as(1).data);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 data_yunits = as(1).yunits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 data_matrix = as(1).data.getY;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 data_length = numel(data_matrix);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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75
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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 for jj = 2:Nobj
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78 % - all objects should belong to the same class
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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79 if ~strcmp(class(as(jj).data), data_class)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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80 error('### The first ao data object is a %s, while the %dth is a %s. The data must all belong to the same class!', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 data_class, jj, class(as(jj).data));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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82 end
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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 % - all objects should have the same yunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 if as(jj).yunits ~= data_yunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86 error('### The first ao data object has yunits = %s, while the %dth has yunits = %s. The data must all have the same yunits!', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 char(data_yunits), jj, char(as(jj).yunits));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 % - all objects should have the same length
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 try
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 % The data.getY methods always give columns, so this syntax should give a proper matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93 data_matrix = [data_matrix as(jj).data.getY];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 catch ME
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 switch ME.identifier
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 case 'MATLAB:catenate:dimensionMismatch'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 error('### The first ao data object has %d points, while the %dth has %d points. The data must all have the same size!', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 data_length, jj, numel(as(jj).data.getY));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 error('### Something went wrong while concatenating the data. Stopping.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102
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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 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 % Go for the actual calculation.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 if Nobj > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
108 % The data.getY methods always give columns, so we just need to operate on the second dimension
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 dim = 2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 b.data.setY(mean(data_matrix, dim));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 b.data.setDy(std(data_matrix, 0, dim) / sqrt(Nobj));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 % Nothing to do in this case
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 end
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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 if ~callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 % create new output history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 b.addHistory(getInfo('None'), pl, [ao_invars(:)], inhists);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 % set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 b.name = sprintf('average(%s)', [ao_invars{:}]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 varargout{1} = b;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 % Get Info Object
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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>
parents:
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131 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 pl = getDefaultPlist;
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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 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: average.m,v 1.5 2011/04/08 08:56:12 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 ii.setModifier(false);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
156 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 pl = plist.EMPTY_PLIST;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161