Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/spectrogram.m @ 47:dd93c9ba6624 database-connection-manager

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Fix Java dialog
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:27 +0100
parents f0afece42f48
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % SPECTROGRAM computes a spectrogram of the given ao/tsdata.
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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>
parents:
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4 % DESCRIPTION: SPECTROGRAM computes a spectrogram of the given ao/tsdata
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % using MATLAB's spectrogram function.
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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 % CALL: b = spectrogram(a, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'spectrogram')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % VERSION: $Id: spectrogram.m,v 1.30 2011/04/08 08:56:18 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 function varargout = spectrogram(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 bs = [];
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18
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 %%% Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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27
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 [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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34 [ps, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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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 % Process parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 pl = parse(ps, 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 as = copy(as, nargout);
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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 % Check input analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 for j=1:numel(as)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 a = as(j);
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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 if isa(a.data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % Get settings for this AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 nfft = find(pl, 'Nfft');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 if isempty(nfft) || nfft < 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 nfft = length(a.data.y)/2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 win = find(pl, 'Win');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 if ischar(win)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 win = specwin(win);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 if length(win.win) < nfft
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 switch lower(win.type)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 case 'kaiser'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 win = specwin(win.type, nfft, win.psll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 win = specwin(win.type, nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 utils.helper.msg(msg.PROC1, 'reset window to %s(%d)', strrep(win.type, '_', '\_'), length(win.win));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 nolap = find(pl, 'Nolap');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 if isempty(nolap) || nolap < 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 nolap = floor(win.rov*nfft/100);
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 % Process data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 [S, F, T, P] = spectrogram(a.data.y, win.win, nolap, nfft, a.data.fs);
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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 % Make output AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 do = xyzdata(T, F, P);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 do.setXunits('s');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 do.setYunits('Hz');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 do.setZunits(a.data.yunits^2 / unit('Hz'));
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77
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 a.data = do;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 a.name = sprintf('spectrogram(%s)', ao_invars{j});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 a.addHistory(getInfo('None'), pl, cellstr(ao_invars{j}), a.hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 % add to output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 bs = [bs a];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 warning('!!! Skipping input AO [%s] - it is not a time-series', a.name);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 % add to output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 bs = [bs a];
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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 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 varargout{ii} = bs(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 end
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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 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101
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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>
parents:
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105 % Local Functions %
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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>
parents:
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110 % FUNCTION: getInfo
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 % DESCRIPTION: Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 % HISTORY: 11-07-07 M Hewitson
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 % Creation.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 pl = getDefaultPlist;
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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 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: spectrogram.m,v 1.30 2011/04/08 08:56:18 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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 % FUNCTION: getDefaultPlist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 % DESCRIPTION: Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 % HISTORY: 11-07-07 M Hewitson
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 % Creation.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 %
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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>
parents:
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 pl = buildplist();
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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 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 end
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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>
parents:
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150 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 % Win
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 p = param({'Win', 'The spectral window to apply to the data.'}, paramValue.WINDOW);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 % Nolap
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 p = param({'Nolap', 'The segment overlap (%).'}, {1, {-1}, paramValue.OPTIONAL});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 % Nfft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 p = param({'Nfft', 'The number of samples in each short fft.'}, {1, {-1}, paramValue.OPTIONAL});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 % PARAMETERS:
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 %
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 % 'Win' - a specwin object [default: Kaiser -200dB psll]
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 % 'Nolap' - segment overlap [default: taken from window function]
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 % 'Nfft' - number of samples in each short fourier transform
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % [default: sample rate of data]
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 %