annotate m-toolbox/classes/@pzmodel/tomiir.m @ 18:947e2ff4b1b9 database-connection-manager

Update plist.FROM_REPOSITORY_PLIST and plist.TO_REPOSITORY_PLIST
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % TOMIIR converts a pzmodel to an IIR filter using a bilinear transform.
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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: TOMIIR converts a pzmodel to an IIR filter using a bilinear
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % transform.
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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: f = tomiir(pzm, fs); % construct for this sample frequency fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % f = tomiir(pzm, pl); % construct from plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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10 % <a href="matlab:utils.helper.displayMethodInfo('pzmodel', 'tomiir')">Parameters Description</a>
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11 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % VERSION: $Id: tomiir.m,v 1.18 2011/04/08 08:56:32 hewitson Exp $
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13 %
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14 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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15
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16 function varargout = tomiir(varargin)
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %%% Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 if utils.helper.isinfocall(varargin{:})
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20 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 return
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22 end
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % Check output arguments number
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 error('### pzmodel/tomiir cannot be used as a modifier. Please give an output variable.');
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27 end
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 [pzms, pzm_invars] = utils.helper.collect_objects(varargin(:), 'pzmodel', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 pls = utils.helper.collect_objects(varargin(:), 'plist');
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % Store inhists to suppress intermediate history steps
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 inhists = [pzms(:).hist];
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % Get default parameters
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41 pl = parse(pls, getDefaultPlist);
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42
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43 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 pzms = copy(pzms, nargout);
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % Get fs
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47 fs = pl.find('fs');
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48 if nargin == 2
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49 if isnumeric(varargin{2})
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50 fs = varargin{2};
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51 end
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52 end
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53
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 si = size(pzms);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 f(si(1), si(2)) = miir();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 for kk = 1:numel(pzms)
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 % get a and b coefficients
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 [a,b] = pzm2ab(pzms(kk), fs);
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60
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61 % throws a warning if the model has a delay
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62 if(pzms(kk).delay~=0)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 disp('!!! PZmodel delay is not used in the discretization')
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64 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 % make MIIR filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 f(kk) = miir(a,b,fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 f(kk).addHistory(getInfo, pl, pzm_invars(kk), inhists(kk));
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68 end
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 % Set output
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71 if nargout == numel(f)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 % List of outputs
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73 for ii = 1:numel(f)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 varargout{ii} = f(ii);
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 else
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77 % Single output
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78 varargout{1} = f;
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79 end
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80
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81 end
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82
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83 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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84 % Local Functions %
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85 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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86
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87 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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88 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % FUNCTION: getInfo
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90 %
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91 % DESCRIPTION: Get Info Object
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92 %
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93 % HISTORY: 11-07-07 M Hewitson
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 % Creation.
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95 %
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96 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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97
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98 function ii = getInfo(varargin)
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99 if nargin == 1 && strcmpi(varargin{1}, 'None')
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100 sets = {};
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101 pl = [];
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102 else
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103 sets = {'Default'};
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104 pl = getDefaultPlist;
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105 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 % Build info object
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107 ii = minfo(mfilename, 'pzmodel', 'ltpda', utils.const.categories.op, '$Id: tomiir.m,v 1.18 2011/04/08 08:56:32 hewitson Exp $', sets, pl);
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108 ii.setModifier(false);
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109 end
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110
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111 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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112 %
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113 % FUNCTION: getDefaultPlist
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114 %
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115 % DESCRIPTION: Get Default Plist
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116 %
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117 % HISTORY: 11-07-07 M Hewitson
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118 % Creation.
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119 %
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120 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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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123 persistent pl;
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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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126 end
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127 plout = pl;
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128 end
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129
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130 function plo = buildplist()
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131 plo = plist();
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132
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133 % FS
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134 p = param({'fs', 'Frequency of the iir filter.'}, paramValue.DOUBLE_VALUE(1));
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135 plo.append(p);
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136
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137 end
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138