Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/heterodyne.m @ 44:409a22968d5e default

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Add unit tests
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 18:42:11 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % HETERODYNE heterodynes time-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: HETERODYNE heterodynes time-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 % The input signal is mixed down at the specified frequency. The mixed
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % signal is then (optionally) low-pass filtered and (optionally) downsampled
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % to have the specified bandwidth.
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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 = heterodyne(a,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: pl - a parameter list
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % a - input analysis object
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % OUTPUTS: b - output analysis object containing the filtered data.
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16 %
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17 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'heterodyne')">Parameters Description</a>
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18 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % VERSION: $Id: heterodyne.m,v 1.22 2011/04/08 08:56:16 hewitson Exp $
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20 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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22
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 function varargout = heterodyne(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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40 [pl, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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41
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % Make copies or handles to inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 bs = copy(as, nargout);
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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 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 pl = parse(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 % Get parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 t0 = find(pl, 't0');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 f0 = find(pl, 'f0');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 if isempty(f0)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 error('### Please specify the heterodyne frequency with the paramter ''f0''');
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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 mix = find(pl, 'quad');
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 for jj = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 if isa(bs(jj).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % store input history
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61 inhist = bs(jj).hist;
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % check bandwidth
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 bw = find(pl, 'bw');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 if isempty(bw)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 bw = bs(jj).data.fs;
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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 if bw > bs(jj).data.fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 error('### The output bandwidth can not exceed the input bandwidth');
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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 % mix at f0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 switch lower(mix)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 case 'cos'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 bs(jj).data.setY(bs(jj).data.getY .* 2.0 .* cos(2*pi * f0 .* (bs(jj).data.getX - t0)));
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76 case 'sin'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 bs(jj).data.setY(bs(jj).data.getY .* 2.0 .* sin(2*pi * f0 .* (bs(jj).data.getX - t0)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 error('### Unknown quadrature specified');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 end
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81
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % user-input filter for low pass
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 filt = find(pl, 'filter');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 % lowpass filter at bw/w
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 if ~isempty(filt) || utils.prog.yes2true(find(pl, 'lp'))
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88 if isempty(filt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % standard filter for low-pass
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 filt = miir(plist('type', 'lowpass', 'order', 4, 'fc', 0.4*bw, 'fs', bs(jj).data.fs));
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91 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 bs.filtfilt(filt);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 end
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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 % downsample
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 if utils.prog.yes2true(find(pl, 'ds'))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 factor = ceil(bs(jj).data.fs / bw);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 bs.downsample(plist('factor', factor));
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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 % set name and history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 bs(jj).name = sprintf('heterodyne(%s, %s@%.01f Hz)', ao_invars{jj}, mix, f0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), inhist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 bs(jj).clearErrors;
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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 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 error('### heterodyne only works on time-series AOs currently.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 varargout{ii} = bs(ii);
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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 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123
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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 % Get Info Object
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126 %--------------------------------------------------------------------------
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127 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 pls = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 pls = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: heterodyne.m,v 1.22 2011/04/08 08:56:16 hewitson Exp $', sets, pls);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 ii.setModifier(false);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 end
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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 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 pl = buildplist();
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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 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 % f0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 p = param({'f0', 'The heterodyne frequency in Hz.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 % t0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 p = param({'t0', 'Modulation start time offset in s.'}, paramValue.DOUBLE_VALUE(0));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163 % quad
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 p = param({'quad', 'The quadrature to output. ''sin'' or ''cos''.'},{2, {'sin', 'cos'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 % bw
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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168 p = param({'bw', 'The bandwidth at the output in Hz.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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169 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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170
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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171 % lp
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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172 p = param({'lp', 'Low pass filter the output data at ''bw''.'}, paramValue.YES_NO);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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173 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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174
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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175 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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176 p = param({'filter', ['Filter to be used to low pass the output data.<br>' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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177 'If this parameter is set, the low pass is applied regardless to the value of the ''lp'' parameter']}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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178 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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179
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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180 % ds
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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181 p = param({'ds','Downsample the output data.'}, paramValue.YES_NO);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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182 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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183 end