Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/gapfilling.m @ 51:9d5c88356247 database-connection-manager

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Make unit tests database connection parameters configurable
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:24:37 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % GAPFILLING fills possible gaps in data.
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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: GAPFILLING interpolated data between two data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % segments. This function might be useful for possible
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % gaps or corrupted data. Two different types of
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % interpolating are available: linear and spline, the latter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % results in a smoother curve between the two data segments.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % CALL: b = gapfilling(a1, a2, pl)
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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 % INPUTS: a1 - data segment previous to the gap
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % a2 - data segment posterior to the gap
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % pl - parameter list
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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 % OUTPUTS: b - data segment containing a1, a2 and the filled data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % segment, i.e., b=[a1 datare_filled a2].
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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 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'gapfilling')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % VERSION: $Id: gapfilling.m,v 1.21 2011/11/07 15:34:34 miquel Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 %
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 function varargout = gapfilling(varargin)
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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 %%% Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 error('### cat 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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35 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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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 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 [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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43 pli = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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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 pls = parse(pli, getDefaultPlist());
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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 if length(as)~=2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 error('only two analysis objects are needed!')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 end
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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 % go through each input AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 for i=1:numel(as)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 % check this is a time-series object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 if ~isa(as(i).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 error(' ### Gap filling requires tsdata (time-series) inputs.')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 end
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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>
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59 %--- check input parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 method = find(pls, 'method'); % method definition: linear or 'spline'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 addnoise = find(pls, 'addnoise'); % decide whether add noise or not in the filled data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 %---------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % rename AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 a1 = as(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 a2 = as(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 if a1.fs ~= a2.fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 warning('Sampling frequencies of the two AOs are different. The sampling frequency of the first AO will be used to reconstruct the gap.')
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 % Different units error
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 if a1.xunits ~= a2.xunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 error('!!! Data has different X units !!!');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 if a1.yunits ~= a2.yunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 error('!!! Data has different Y units !!!');
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 a1_length = len(a1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 a2_length = len(a2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 start_a2 = a2.t0.utc_epoch_milli/1000 + a2.x(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 end_a1 = (a1.t0.utc_epoch_milli/1000 + a1.x(1) + a1.nsecs - 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 gaptime = (start_a2 - end_a1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 gapn = gaptime*a1.fs-1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 t = (0:1:gapn-1)'/a1.fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 %--- gapfilling process itself
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 if strcmp(method,'linear')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 % linear interpolation method ---xfilled=(deltay/deltax)*t+y1(length(y1))---
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 if len(a1)>10 && len(a2)>10
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 dy = mean(a2.y(1:10))-mean(a1.y(a1_length-10:a1_length));
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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 filling_data = (dy/gaptime)*t + mean(a1.y(a1_length-10:a1_length));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 filling_time = (1:1:gapn)'/a1.fs + a1.x(a1_length);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 error('!!! Not enough data in the data segments (min=11 for each one for the linear method) !!!');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 end
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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 elseif strcmp(method,'spline') % spline method xfilled = a*T^3 + b*T^2 + c*T +d
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 if len(a1)>1000 && len(a2)>1000
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 % derivatives of the input data are calculated
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 da1 = diff(a1.y(1:100:a1_length))*(a1.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 da1 = tsdata(da1, a1.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 da1 = ao(da1);
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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 da2 = diff(a2.y(1:100:a2_length))*(a2.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 da2 = tsdata(da2, a2.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 da2 = ao(da2);
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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 % This filters the previous derivatives
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 % filters parameters are obtained
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 plfa1 = getlpFilter(a1.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 plfa2 = getlpFilter(a2.fs/100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 lpfa1 = miir(plfa1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 lpfpla1 = plist(param('filter', lpfa1));
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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 lpfa2 = miir(plfa2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 lpfpla2 = plist(param('filter', lpfa2));
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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 % derivatives are low-pass filtered
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 da1filtered = filtfilt(da1, lpfpla1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 da2filtered = filtfilt(da2, lpfpla2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 % coefficients are calculated
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 c = mean(da1filtered.y(len(da1filtered)...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 -10:len(da1filtered)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 d = mean(a1.y(len(a1)-10:len(a1)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 a=(2*d+(c+mean(da2filtered.y(1:10)))...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 *gaptime-2*mean(a2.y(1:10)))/(gaptime.^3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 b=-(3*d+2*c*gaptime+mean(da2filtered.y(1:10))...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 *gaptime-3*mean(a2.y(1:10)))/(gaptime^2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 % filling data is calculated with the coefficients a, b, c and d
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 filling_data = a*t.^3+b*t.^2+c*t+d;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 filling_time = (1:1:gapn)'/a1.fs + a1.x(a1_length);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 error('!!! Not enough data in data segments (min=1001 in spline method)');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 % this add noise (if desired) to the filled gap
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 if strcmp(addnoise,'yes');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 % calculation of the standard deviation after eliminating the low-frequency component
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 phpf = gethpFilter(a1.fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 ax = tsdata(a1.y, a1.fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 ax = ao(ax);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 hpf = miir(phpf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 hpfpl = plist(param('filter', hpf));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
157 xhpf = filter(ax, hpfpl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
158 hfnoise = std(xhpf);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
159
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
160 % noise is added to the filling data
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
161 filling_data = filling_data + randn(length(filling_data),1)*hfnoise.data.getY;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 % join data
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 filling_data = [a1.y; filling_data; a2.y];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 filling_time = [a1.x; filling_time; a2.x];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 % create new output tsdata
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 ts = tsdata(filling_time, filling_data);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 ts.setYunits(a1.yunits);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 ts.setXunits(a1.xunits);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % make output analysis object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 b = ao(ts);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 b.setT0(a1.t0)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 b.name = sprintf('gapfilling(%s,%s)', ao_invars{1}, ao_invars{2});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 b.addHistory(getInfo('None'), pls, [ao_invars(1) ao_invars(2)], [as(1).hist as(2).hist]);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 % Set output
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 if nargout == numel(b)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 % List of outputs
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 for ii = 1:numel(b)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 varargout{ii} = b(ii);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 % Single output
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 varargout{1} = b;
f0afece42f48 Import.
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 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 function plf = getlpFilter(x)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 plf = plist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 plf = append(plf, param('gain', 1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 plf = append(plf, param('ripple', 0.5));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 plf = append(plf, param('type', 'lowpass'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 plf = append(plf, param('order', 2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 plf = append(plf, param('fs', x));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 plf = append(plf, param('fc', 0.1/100));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 function phf = gethpFilter(x)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 phf = plist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 phf = append(phf, param('gain', 1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 phf = append(phf, param('ripple', 0.5));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 phf = append(phf, param('type', 'highpass'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 phf = append(phf, param('order', 2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 phf = append(phf, param('fs', x));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 phf = append(phf, param('fc', 0.1/100));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 % Local Functions %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 % FUNCTION: getInfo
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224 % DESCRIPTION: Get Info Object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 % HISTORY: 11-07-07 M Hewitson
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 % Creation.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 function ii = getInfo(varargin)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 if nargin == 1 && strcmpi(varargin{1}, 'None')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 sets = {};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 pl = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 sets = {'Default'};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 pl = getDefaultPlist();
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 % Build info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: gapfilling.m,v 1.21 2011/11/07 15:34:34 miquel Exp $', sets, pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 ii.setModifier(false);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 % FUNCTION: getDefaultPlist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 % DESCRIPTION: Get Default Plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 % HISTORY: 11-07-07 M Hewitson
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 % Creation.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 function plout = getDefaultPlist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 persistent pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 if exist('pl', 'var')==0 || isempty(pl)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 pl = buildplist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 plout = pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264 function pl = buildplist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266 pl = plist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268 % Method
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269 p = param({'method', 'The method used to interpolate data.'}, {1, {'linear', 'spline'}, paramValue.SINGLE});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272 % Add noise
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 p = param({'addnoise', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274 ['Noise can be added to the interpolated data.<br>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 'This noise is defined as random variable with<br>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276 'zero mean and variance equal to the high-frequency<br>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277 'noise of the first input.']}, paramValue.YES_NO);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278 p.val.setValIndex(2);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283 % PARAMETERES: 'method' - method used to interpolate data between a1 and a2.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
284 % Two options can be used: 'linear' and 'spline'.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285 % Default values is 'linear'.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
286 % 'addnoise' - noise can be added to the interpolated data.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
287 % This noise is defined as random variable with
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
288 % zero mean and variance equal to the high-frequency
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
289 % noise if a1. 'Yes' adds noise. Default value
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
290 % is 'no'.