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annotate m-toolbox/classes/@ao/fromPzmodel.m @ 42:f90d4f666cc7 database-connection-manager

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Cleanup
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 18:04:34 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % FROMPZMODEL Construct a time-series ao from polynomial coefficients
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % FUNCTION: fromPzmodel
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5 %
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6 % DESCRIPTION: Construct a time-series ao from polynomial coefficients
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7 %
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8 % CALL: a = fromPzmodel(a, pl)
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9 %
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10 % PARAMETER: pl: plist containing 'pzmodel', 'Nsecs', 'fs'
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11 %
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12 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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13 function a = fromPzmodel(a, pli)
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14
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15 VERSION = '$Id: fromPzmodel.m,v 1.24 2011/08/15 06:09:42 hewitson Exp $';
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16
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17 % get AO info
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18 ii = ao.getInfo('ao', 'From Pzmodel');
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19
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20 % Set the method version string in the minfo object
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21 ii.setMversion([VERSION '-->' ii.mversion]);
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22
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23 % Add default values
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24 pl = applyDefaults(ii.plists, pli);
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25 pl.getSetRandState();
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26
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27 pzm = find(pl, 'pzmodel');
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28 nsecs = find(pl, 'Nsecs');
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29 fs = find(pl, 'fs');
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30 ndigits = find(pl, 'ndigits');
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31
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32 % Build t vector
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33 if isempty(nsecs) || nsecs == 0
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34 error('### Please provide ''Nsecs'' for pzmodel constructor.');
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35 end
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36 if isempty(fs) || fs == 0
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37 error('### Please provide ''fs'' for pzmodel constructor.');
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38 end
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39
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40 % Check if input pzmodel has more zeros than poles
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41 np = 0;
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42 for i =1:length(pzm.poles)
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43 if isnan(pzm.poles(i).q) % simple pole
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44 np = np + 1;
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45 elseif pzm.poles(i).q == 0.5 % critical damping
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46 np = np + 1;
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47 else % double pole
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48 np = np + 2;
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49 end
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50 end
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51 nz = 0;
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52 for i =1:length(pzm.zeros)
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53 if isnan(pzm.zeros(i).q)
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54 nz = nz + 1;
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55 elseif pzm.zeros(i).q == 0.5
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56 nz = nz + 1;
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57 else
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58 nz = nz + 2;
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59 end
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60 end
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61 if np <= nz
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62 error('### The noise generator needs more poles than zeros.');
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63 end
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64 % t = linspace(0, nsecs - 1/fs, nsecs*fs);
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65
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66 % Run noise generator
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67 % conversion
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68 disp(' - Filter coefficients are calculated from input pzmodel.');
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69 [num, den] = ao.ngconv(pzm);
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70
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71 % create matrices
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72 toolboxinfo = ver('symbolic');
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73
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74 if isempty(toolboxinfo)
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75 disp('the time series is calculated without the symbolic math toolbox')
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76 disp(' - Matrices are calculated from evaluated denominator coefficients.');
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77 [Tinit, Tprop, E] = ao.ngsetup(den, fs);
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78 else
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79 disp('the time series is calculated using the symbolic math toolbox')
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80 disp(' - Matrices are calculated from evaluated denominator coefficients.');
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81 if isempty(ndigits)
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82 ndigits = 32;
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83 warning('### set number of digits to 32!')
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84 end
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85 [Tinit, Tprop, E] = ao.ngsetup_vpa(den, fs, ndigits);
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86 end
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87
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88 % set state vector
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89 disp(' - Since there is no given state vector it will be calculated.');
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90
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91 % make initial state vector
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92 y = ao.nginit(Tinit);
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93
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94 % propagate to make noise vector
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95 [x, yo] = ao.ngprop(Tprop, E, num, y, fs*nsecs);
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96
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97 % build variables into data object
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98 t = x*pzm.gain;
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99 data = tsdata(t,fs);
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100
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101 a.data = data;
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102 if isempty(pl.find('name'))
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103 pl.pset('name', sprintf('noisegen(%s)', pzm.name));
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104 end
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105 if isempty(pl.find('description'))
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106 pl.pset('description', pzm.description);
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107 end
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108
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109 % Add history
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110 a.addHistory(ii, pl, [], pzm.hist);
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111
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112 % Set xunits
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113 a.setXunits(pl.find('xunits'));
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114 % Set yunits
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115 a.setYunits(pl.find('yunits'));
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116 % Set T0
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117 a.setT0(pl.find('t0'));
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118 % Set toffset
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119 a.setToffset(pl.find('toffset'));
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120
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121 % Set object properties from the plist
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122 a.setObjectProperties(pl);
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123
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124 end
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125
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