annotate m-toolbox/classes/@ao/upsample.m @ 52:daf4eab1a51e database-connection-manager tip

Fix. Default password should be [] not an empty string
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:29:47 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % UPSAMPLE overloads upsample function for AOs.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: UPSAMPLE AOs containing time-series data. All other AOs with
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % no time-series data are skipped but appear in the output.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % A signal at sample rate fs is upsampled by inserting N-1 zeros between the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % input samples.
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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 = upsample(a, pl)
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11 %
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12 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'upsample')">Parameters Description</a>
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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 % VERSION: $Id: upsample.m,v 1.29 2011/07/14 05:33:18 mauro Exp $
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15 %
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16 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 function varargout = upsample(varargin)
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19
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 [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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35 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 bs = copy(as, nargout);
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % combine plists
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41 pl = parse(pl, getDefaultPlist());
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42
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % Get output sample rate
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 Nup = find(pl, 'N');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 if isempty(Nup)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 error('### Please give a plist with a parameter ''N''.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 % Get initial phase
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 phase = find(pl, 'phase');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 if isempty(phase)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 phase = 0;
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53 end
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % Loop over AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 for jj = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 if ~isa(bs(jj).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 warning('!!! Upsample only works on tsdata objects. Skipping AO %s', ao_invars{jj});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % upsample y
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 bs(jj).data.setY(upsample(bs(jj).data.y, floor(Nup), phase));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 % Correct fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 bs(jj).data.setFs(floor(Nup)*bs(jj).data.fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % Set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 bs(jj).name = sprintf('upsample(%s)', ao_invars{jj});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 % Add history
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67 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 bs(jj).clearErrors;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 end
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71 end
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72
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73 % Set output
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74 varargout = utils.helper.setoutputs(nargout, bs);
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75 end
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76
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77 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 % Get Info Object
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79 %--------------------------------------------------------------------------
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80 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 pl = [];
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84 else
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85 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 pl = getDefaultPlist;
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87 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: upsample.m,v 1.29 2011/07/14 05:33:18 mauro Exp $', sets, pl);
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90 end
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91
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92 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % Get Default Plist
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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 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 pl = buildplist();
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99 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 plout = pl;
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101 end
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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 function pl = buildplist()
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 pl = plist();
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106
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 % N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 p = param({'N', 'The upsample factor.'}, paramValue.DOUBLE_VALUE(1));
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109 pl.append(p);
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110
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 % phase
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 p = param({'phase', 'The initial phase [0, N-1].'}, paramValue.DOUBLE_VALUE(0));
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113 pl.append(p);
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 end