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annotate m-toolbox/classes/@ao/sumjoin.m @ 34:03d92954b939 database-connection-manager

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Improve look of LTPDAPreferences diaolog
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 % SUMJOIN sums time-series signals togther
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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: SUMJOIN sums time-series signals togther. The start time of
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % each signal is taken in to account when summing. The signals
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % are zero-padded at non-overlapping times.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % s1: |. . + + | 0 0 0 0 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % s2: 0 0 | + + + + | 0 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % s3: 0 0 0 | + + + + . |
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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 % CALL: b = sumjoin(a1, a2, pl)
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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 % EXAMPLES:
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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 % a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 10, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % 't0', 10000))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % a2 = ao(plist('tsfcn', 't', 'fs', 10, 'nsecs', 15, 't0', 15000))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % b = sumjoin(a1,a2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % iplot(a1,a2,b);
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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 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'sumjoin')">Parameters Description</a>
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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>
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24 % VERSION: $Id: sumjoin.m,v 1.19 2011/04/08 08:56:12 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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 function varargout = sumjoin(varargin)
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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>
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30 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % error('### join 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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38 % end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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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>
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43 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 [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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49 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % Copy inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 pl = parse(pl, getDefaultPlist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 % loop over AOs to get maximum and minimum end time
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 tEnd = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 tStart = 1e20;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 fs = bs(1).data.fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 inhists = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 for j=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % Only get the data type we want
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 if isa(bs(j).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 % check sample rate
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 if bs(j).data.fs ~= fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 error('### All input time-series must have the same sample rate.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 % check sampling
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 if ~bs(j).data.evenly()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 error('### This method only works on regularly sampled time-series.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 % get start and stop time
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 x1 = bs(j).data.getX(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 ts = x1 + bs(j).data.t0.utc_epoch_milli/1000;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 te = bs(j).data.nsecs + ts;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 if te > tEnd
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 tEnd = te;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 if ts < tStart
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 tStart = ts;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % store input history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 inhists = [inhists bs(j).hist];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 error('### It is not a time-series', bs(j).name);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 end
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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 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 bs.clearErrors;
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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 % Zero pad and sum each signal
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 name = 'sumjoin(';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 yall = zeros((tEnd - tStart)*fs,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 for kk=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 if isa(bs(kk).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 name = sprintf('%s%s, ', name, ao_invars{kk});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 x1 = bs(kk).x(1) + bs(kk).t0.utc_epoch_milli/1000;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 xn = bs(kk).x(end) + 1/fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 post = zeros((tEnd - xn - x1)*fs,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 pre = zeros((x1 - tStart)*fs,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 y = [pre; bs(kk).y; post];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 yall = yall + y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 xall = linspace(0, (tEnd - tStart) -1/fs, (tEnd - tStart)*fs)';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 name = [name(1:end-2) ')'];
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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 % Fix up this AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 out = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 out.data.setXY(xall, yall);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 out.data.fixNsecs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 out.data.collapseX;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 out.name = name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 out.data.setT0(time(tStart));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 out.hist = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 out.addHistory(getInfo('None'), pl, ao_invars, inhists);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 varargout{1} = out;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 % Get Info Object
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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>
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130 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 pl = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.op, '$Id: sumjoin.m,v 1.19 2011/04/08 08:56:12 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 pl = plist.EMPTY_PLIST;
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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