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annotate m-toolbox/classes/@pzmodel/fngen.m @ 0:f0afece42f48

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Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % FNGEN creates an arbitrarily long time-series based on the input pzmodel.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION: FNGEN creates an arbitrarily long time-series based on the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % input pzmodel.
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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 = fngen(pzm, pl)
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % PARAMETERS: 'Nsecs' - The number of seconds to produce
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % [default: inverse of PSD length]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % 'Win' - The spectral window to use for blending segments
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % [default: Kaiser -150dB]
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13 %
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14 % <a href="matlab:utils.helper.displayMethodInfo('pzmodel', 'fngen')">Parameters Description</a>
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15 %
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16 % VERSION: $Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $
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17 %
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18 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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19
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20 function varargout = fngen(varargin)
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21
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 %%% Check if this is a call for parameters
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23 if utils.helper.isinfocall(varargin{:})
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24 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 return
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26 end
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27
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28 % Collect input variable names
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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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31
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32 % Collect all AOs and plists
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33 [pzms, pzm_invars] = utils.helper.collect_objects(varargin(:), 'pzmodel', in_names);
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34 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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35
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36 % combine plists
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37 pl = combine(pl, getDefaultPlist());
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38
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39 % Loop over input pzms
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40 bs(1:numel(pzms)) = ao();
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41 for j=1:numel(pzms)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % get sample rate to specify Nyquist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 fs = find(pl, 'fs');
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44 if isempty(fs)
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45 fs = round(getupperFreq(pzms(j)) * 10);
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46 end
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47 if fs < 1
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48 fs = 1;
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49 end
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % Compute the frequency vector
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 Nf = 10001;
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53 f1 = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 f2 = fs/2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 f = linspace(f1,f2,Nf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 N = 2*(Nf-1);
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57 % Compute model response
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 w = ao(plist('tsfcn', 'sqrt(fs/2).*randn(size(t))', 'fs', fs, 'Nsecs', N));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 wxx = pwelch(w, plist('Nfft', N, 'win', specwin('Rectangular', N)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 axx = resp(pzms(j), plist('f', f));
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61
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 % Compute desired PSD
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63 wxx.data.setY(wxx.y .* (abs(axx.y).^2));
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64
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65 % Call ao/fngen
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66 b = fngen(wxx, pl);
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67 b.data.setXunits('s');
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68 b.data.setYunits('');
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69
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70 % Add history
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71 b.addHistory(getInfo('None'), pl, pzm_invars(j), pzms(j).hist);
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72
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73 % Add to outputs
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74 bs(j) = b;
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75 end
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76
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77 % Set outputs
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78 varargout{1} = bs;
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79 end
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80
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81 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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82 % Local Functions %
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83 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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84
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85 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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86 %
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87 % FUNCTION: getInfo
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88 %
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89 % DESCRIPTION: Get Info Object
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90 %
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91 % HISTORY: 11-07-07 M Hewitson
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92 % Creation.
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93 %
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94 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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95
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96 function ii = getInfo(varargin)
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97 if nargin == 1 && strcmpi(varargin{1}, 'None')
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98 sets = {};
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99 pl = [];
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100 else
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101 sets = {'Default'};
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102 pl = getDefaultPlist;
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103 end
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104 % Build info object
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105 ii = minfo(mfilename, 'pzmodel', 'ltpda', utils.const.categories.sigproc, '$Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $', sets, pl);
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106 ii.setModifier(false);
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107 end
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108
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109 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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110 %
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111 % FUNCTION: getDefaultPlist
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112 %
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113 % DESCRIPTION: Get Default Plist
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114 %
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115 % HISTORY: 11-07-07 M Hewitson
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116 % Creation.
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117 %
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118 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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119
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120 function plout = getDefaultPlist()
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121 persistent pl;
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122 if exist('pl', 'var')==0 || isempty(pl)
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123 pl = buildplist();
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124 end
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125 plout = pl;
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126 end
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127
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128 function pl = buildplist()
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129 pl = plist();
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130
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131 % Nsecs
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132 p = param({'Nsecs', 'The length of the time-series in seconds.'}, paramValue.DOUBLE_VALUE(-1));
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133 pl.append(p);
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134
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135 % Win
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136 p = param({'Win', 'The window to use in the blending of consecutive segments.'}, paramValue.WINDOW);
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137 pl.append(p);
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138
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139 end
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140