Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/zeropad.m @ 45:a59cdb8aaf31 database-connection-manager

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Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % ZEROPAD zero pads the input data series.
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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: ZEROPAD zero pads the input data series.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % CALL: b = zeropad(a, pl)
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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 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'zeropad')">Parameters Description</a>
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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 % VERSION: $Id: zeropad.m,v 1.28 2011/04/08 08:56:15 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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13
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 function varargout = zeropad(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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24
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 [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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31 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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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 %%% Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 bs = copy(as, nargout);
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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 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 pl = parse(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % Extract necessary parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 Factor = find(pl, 'Factor');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 N = find(pl, 'N');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 pos = find(pl, 'position');
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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>
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44 if isempty(Factor) && isempty(N)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 error('### Specify either a padding Factor, or a number of samples.');
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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 % Loop over input AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 for j=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 if ~isa(bs(j).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 error('Zero padding only works on time-series. AO %s is not a time-series.', ao_invars{j});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 % Check the time-series is evenly samples
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 if ~isempty(bs(j).data.x)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 error('### Zero padding only makes sense on evenly sampled time-series. Resample first.');
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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 if isempty(N)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 if Factor < 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 error('### Padding factor must be >= 2')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 if strcmpi(pos, 'pre')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 bs(j).data.setY([repmat(zeros(size(bs(j).data.getY)), Factor-1, 1); bs(j).data.getY]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 elseif strcmpi(pos, 'post')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 bs(j).data.setY([bs(j).data.getY; repmat(zeros(size(bs(j).data.getY)), Factor-1, 1)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 error('Unknown ''position'' to pad. Choose either ''pre'' or ''post'' for the ''position'' value.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 if N > 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 if strcmpi(pos, 'pre')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 bs(j).data.setY([zeros(N,1); bs(j).data.getY]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 elseif strcmpi(pos, 'post')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 bs(j).data.setY([bs(j).data.getY; zeros(N,1)]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 error('Unknown ''position'' to pad. Choose either ''pre'' or ''post'' for the ''position'' value.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 error('### Number of samples to pad must be > 0');
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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 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 % Set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 bs(j).name = sprintf('zeropad(%s)', ao_invars{j});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % Correct Nsecs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 bs(j).data.fixNsecs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 bs(j).clearErrors;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 varargout{ii} = bs(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103
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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 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 pl = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: zeropad.m,v 1.28 2011/04/08 08:56:15 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 end
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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 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 % Get Default Plist
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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 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 end
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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 pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 % Factor
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 p = param({'Factor', 'Pad to <Factor> times the input data length.'}, paramValue.DOUBLE_VALUE(2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 pl.append(p);
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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>
parents:
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137 % N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 p = param({'N', 'Pad with N zero samples.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 % Position
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 p = param({'Position', 'Where to pad: before or after.'}, {2, {'pre', 'post'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 pl.append(p);
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 end
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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>
parents:
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149
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 % PARAMETERS: 'Factor' - Pad to <Factor> times the input data length
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 % [default: 2]
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 % or
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 % 'N' - Pad with N zero samples
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154