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Update ao_model_retrieve_in_timespan
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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1 <!-- $Id: ao_create_content.html,v 1.9 2009/09/30 21:39:43 ingo Exp $ -->
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2 <p>Analysis objects can be created in MATLAB in many ways. Apart from being created by the many
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 algorithms in the LTPDA Toolbox, AOs can also be created from initial data or descriptions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 of data. The various <i>constructors</i>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 are listed in the function help: <a href="matlab:doc('ao')">ao help</a>.</p>
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6
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7 <h3>Examples of creating AOs</h3>
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8
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9 <p>The following examples show some ways to create Analysis Objects.</p>
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10
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11 <ul>
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12 <li><a href="ao_create.html#text">Creating AOs from text files</a></li>
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13 <li><a href="ao_create.html#xml">Creating AOs from XML or MAT files</a></li>
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14 <li><a href="ao_create.html#fcn">Creating AOs from MATLAB functions</a></li>
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15 <li><a href="ao_create.html#tsfcn">Creating AOs from functions of time</a></li>
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16 <li><a href="ao_create.html#window">Creating AOs from window functions</a></li>
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17 <li><a href="ao_create.html#waveform">Creating AOs from waveform descriptions</a></li>
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18 <li><a href="ao_create.html#pzmodel">Creating AOs from pole zero models</a></li>
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19 </ul>
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20
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21 <hr>
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22 <h4><a name="text"></a>Creating AOs from text files.</h4>
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23
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24 <p>Analysis Objects can be created from text files containing two columns of ASCII numbers. Files
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25 ending in '.txt' or '.dat' will be handled as ASCII file inputs. The
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26 first column is taken to be the time instances; the second column is taken to be the amplitude
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27 samples. The created AO is of type <tt>tsdata</tt> with the sample rate set by the difference
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28 between the time-stamps of the first two samples in the file. The name of the resulting AO is
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29 set to the filename (without the file extension). The filename is also stored as a parameter in
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30 the history parameter list. The following code shows this in action:</p>
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31
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32 <div class="fragment"><pre>
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33 >> a = ao(<span class="string">'data.txt'</span>)
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34 ----------- ao 01: data.txt_01_02 -----------
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35
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36 name: data.txt_01_02
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37 data: (0,-1.06421341288933) (0.1,1.60345729812004) (0.2,1.23467914689078) ...
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38 -------- tsdata 01 ------------
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39
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40 fs: 10
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41 x: [100 1], double
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42 y: [100 1], double
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43 dx: [0 0], double
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44 dy: [0 0], double
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45 xunits: [s]
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46 yunits: []
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47 nsecs: 10
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48 t0: 1970-01-01 00:00:00.000
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49 -------------------------------
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50
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51 hist: ao / ao / SId: fromDatafile ... $-->$Id: ao ... S
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52 mdlfile: empty
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53 description:
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54 UUID: e6ccfcb6-da49-4f4c-8c2c-3054fe5d2762
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55 ---------------------------------------------
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56 </pre></div>
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57 <p>As with most constructor calls, an equivalent action can be achieved using an input
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58 <a href="plist_intro.html">Parameter List</a>.</p>
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59
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60 <div class="fragment"><pre>
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61 >> a = ao(plist(<span class="string">'filename'</span>, <span class="string">'data.txt'</span>))
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62 </pre></div>
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63
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64 <hr>
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65 <h4><a name="xml"></a>Creating AOs from XML or .mat files</h4>
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66
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67 <p>AOs can be saved as both XML and .MAT files. As such, they can also be created from these
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68 files.</p>
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69
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70 <div class="fragment"><pre>
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71 >> a = ao(<span class="string">'a.xml'</span>)
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72 ----------- ao 01: a -----------
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73
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74 name: None
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75 data: (0,-0.493009815316451) (0.1,-0.180739356415037) (0.2,0.045841105713705) ...
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76 -------- tsdata 01 ------------
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77
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78 fs: 10
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79 x: [100 1], double
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80 y: [100 1], double
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81 dx: [0 0], double
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82 dy: [0 0], double
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83 xunits: [s]
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84 yunits: []
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85 nsecs: 10
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86 t0: 1970-01-01 00:00:01.000
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87 -------------------------------
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88
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89 hist: ao / ao / SId: fromVals ... $-->$Id: ao ... S
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90 mdlfile: empty
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91 description:
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92 UUID: 2fed6155-6468-4533-88f6-e4b27bc6e1aa
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93 --------------------------------
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94 </pre></div>
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95
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96 <hr>
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97 <h4><a name="fcn"></a>Creating AOs from MATLAB functions</h4>
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98
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99 <p>AOs can be created from any valid MATLAB function which returns a vector or matrix of values.
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100 For such calls, a parameter list is used as input. For example, the following code creates
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101 an AO containing 1000 random numbers:</p>
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102
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103 <div class="fragment"><pre>
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104 >> a = ao(plist(<span class="string">'fcn'</span>, <span class="string">'randn(1000,1)'</span>))
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105 ----------- ao 01: a -----------
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106
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107 name: None
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108 data: -1.28325610460477 -2.32895451628334 0.901931466951714 -1.83563868373519 0.06675 ...
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109 -------- cdata 01 ------------
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110 y: [1000x1], double
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111 dy: [0x0], double
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112 yunits: []
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113 ------------------------------
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114
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115 hist: ao / ao / SId: fromFcn ... $-->$Id ... $
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116 mdlfile: empty
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117 description:
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118 UUID: 0072f8d0-f804-472b-a4aa-e9ec6a8de803
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119 --------------------------------
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120 </pre></div>
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121 <p>Here you can see that the AO is a <tt>cdata</tt> type and the name is set to be the function
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122 that was input.</p>
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123
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124 <hr>
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125 <h4><a name="tsfcn"></a>Creating AOs from functions of time</h4>
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126
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127 <p>AOs can be created from any valid MATLAB function which is a function of the variable
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128 <tt>t</tt>. For such calls, a parameter list is used as input. For example, the following
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129 code creates an AO containing sinusoidal signal at 1Hz with some additional Gaussian noise:</p>
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130
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131 <div class="fragment"><pre>
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132 pl = plist();
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133 pl = append(pl, <span class="string">'nsecs'</span>, 100);
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134 pl = append(pl, <span class="string">'fs'</span>, 10);
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135 pl = append(pl, <span class="string">'tsfcn'</span>, <span class="string">'sin(2*pi*1*t)+randn(size(t))'</span>);
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136 a = ao(pl)
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137 ----------- ao 01: a -----------
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138
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139 name: None
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140 data: (0,1.37694916561229) (0.1,-0.820427237640771) (0.2,1.09228819960292) ...
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141 -------- tsdata 01 ------------
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142
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143 fs: 10
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144 x: [1000 1], double
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145 y: [1000 1], double
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146 dx: [0 0], double
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147 dy: [0 0], double
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148 xunits: [s]
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149 yunits: []
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150 nsecs: 100
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151 t0: 1970-01-01 00:00:00.000
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152 -------------------------------
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153
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154 hist: ao / ao / SId: fromTSfcn ... $-->$Id: ao ... S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 mdlfile: empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 description:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 UUID: c0f481cf-4bdd-4a91-bc78-6d34f8222313
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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 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 <p>Here you can see that the AO is a <tt>tsdata</tt> type, as you would expect. Also note that you
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 need to specify the sample rate (<tt>fs</tt>) and the number of seconds of data you would like
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 to have (<tt>nsecs</tt>).</p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163
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Daniele Nicolodi <nicolodi@science.unitn.it>
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164 <hr>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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165 <h4><a name="window"></a>Creating AOs from window functions</h4>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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166
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Daniele Nicolodi <nicolodi@science.unitn.it>
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167 <p>The LTPDA Toolbox contains a class for designing spectral windows
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Daniele Nicolodi <nicolodi@science.unitn.it>
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168 (see <a href="specwin.html">Spectral Windows</a>). A spectral window object can
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Daniele Nicolodi <nicolodi@science.unitn.it>
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169 also be used to create an Analysis Object as follows:</p>
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170
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Daniele Nicolodi <nicolodi@science.unitn.it>
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171 <div class="fragment"><pre>
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172 >> w = specwin(<span class="string">'Hanning'</span>, 1000)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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173 ------ specwin/1 -------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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174 type: Hanning
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Daniele Nicolodi <nicolodi@science.unitn.it>
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175 alpha: 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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176 psll: 31.5
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Daniele Nicolodi <nicolodi@science.unitn.it>
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177 rov: 50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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178 nenbw: 1.5
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Daniele Nicolodi <nicolodi@science.unitn.it>
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179 w3db: 1.4382
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Daniele Nicolodi <nicolodi@science.unitn.it>
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180 flatness: -1.4236
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Daniele Nicolodi <nicolodi@science.unitn.it>
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181 ws: 500
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Daniele Nicolodi <nicolodi@science.unitn.it>
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182 ws2: 375.000000000001
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Daniele Nicolodi <nicolodi@science.unitn.it>
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183 win: [0 9.86957193144233e-06 3.94778980919441e-05 8.88238095955174e-05 0.0001579 ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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184 version: SId: specwin.m,v 1.67 2009/09/01 09:25:24 ingo Exp S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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185 ------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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186
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Daniele Nicolodi <nicolodi@science.unitn.it>
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187 >> a = ao(w)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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188 ----------- ao 01: ao(Hanning) -----------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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189
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Daniele Nicolodi <nicolodi@science.unitn.it>
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190 name: ao(Hanning)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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191 data: 0 9.86957193144233e-06 3.94778980919441e-05 8.88238095955174e-05 0.0001579 ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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192 -------- cdata 01 ------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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193 y: [1x1000], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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194 dy: [0x0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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195 yunits: []
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Daniele Nicolodi <nicolodi@science.unitn.it>
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196 ------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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197
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Daniele Nicolodi <nicolodi@science.unitn.it>
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198 hist: ao / ao / SId: fromSpecWin ... $-->$Id: ao ... S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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199 mdlfile: empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
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200 description:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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201 UUID: ea1a9036-b9f5-4bdb-b3a3-211e9d697060
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Daniele Nicolodi <nicolodi@science.unitn.it>
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202 ------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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203 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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204 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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205 It is also possible to pass the information about the window as a plist to the ao constructor.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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206 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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207 <div class="fragment"><pre>
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208 >> ao(plist(<span class="string">'win'</span>, <span class="string">'Hanning'</span>, <span class="string">'length'</span>, 1000))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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209 ----------- ao 01: ao(Hanning) -----------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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210
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Daniele Nicolodi <nicolodi@science.unitn.it>
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211 name: ao(Hanning)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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212 data: 0 9.86957193144233e-06 3.94778980919441e-05 8.88238095955174e-05 0.0001579 ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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213 -------- cdata 01 ------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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214 y: [1x1000], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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215 dy: [0x0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 yunits: []
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Daniele Nicolodi <nicolodi@science.unitn.it>
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217 ------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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218
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Daniele Nicolodi <nicolodi@science.unitn.it>
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219 hist: ao / ao / SId: fromSpecWin ... -->$Id: ao ... S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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220 mdlfile: empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
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221 description:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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222 UUID: 5b81f67a-45b9-43f8-a74a-bc5161fd718f
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Daniele Nicolodi <nicolodi@science.unitn.it>
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223 ------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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224 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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225
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Daniele Nicolodi <nicolodi@science.unitn.it>
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226 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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227 The example code above creates a Hanning window object with 1000 points. The call to the AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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228 constructor then creates a <tt>cdata</tt> type AO with 1000 points. This AO can then be multiplied
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Daniele Nicolodi <nicolodi@science.unitn.it>
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229 against other AOs in order to window the data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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230 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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231
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Daniele Nicolodi <nicolodi@science.unitn.it>
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232 <hr>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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233 <h4><a name="waveform"></a>Creating AOs from waveform descriptions</h4>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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234
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Daniele Nicolodi <nicolodi@science.unitn.it>
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235 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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236 MATLAB contains various functions for creating different waveforms, for example,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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237 <tt>square</tt>, <tt>sawtooth</tt>. Some of these functions can be called upon to create
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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238 Analysis Objects. The following code creates an AO with a sawtooth waveform:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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239 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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240
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Daniele Nicolodi <nicolodi@science.unitn.it>
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241 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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242 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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243 pl = append(pl, <span class="string">'fs'</span>, 100);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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244 pl = append(pl, <span class="string">'nsecs'</span>, 5);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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245 pl = append(pl, <span class="string">'waveform'</span>, 'Sawtooth');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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246 pl = append(pl, <span class="string">'f'</span>, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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247 pl = append(pl, <span class="string">'width'</span>, 0.5);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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248
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Daniele Nicolodi <nicolodi@science.unitn.it>
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249 asaw = ao(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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250 ----------- ao 01: Sawtooth -----------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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251
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Daniele Nicolodi <nicolodi@science.unitn.it>
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252 name: Sawtooth
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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253 data: (0,-1) (0.01,-0.96) (0.02,-0.92) (0.03,-0.88) (0.04,-0.84) ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 -------- tsdata 01 ------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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255
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Daniele Nicolodi <nicolodi@science.unitn.it>
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256 fs: 100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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257 x: [500 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 y: [500 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 dx: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 dy: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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261 xunits: [s]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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262 yunits: []
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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263 nsecs: 5
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264 t0: 1970-01-01 00:00:00.000
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 -------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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266
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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267 hist: ao / ao / SId: fromWaveform ... $-->$Id: ao ... S
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268 mdlfile: empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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269 description:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
270 UUID: cb76c866-ee3f-47e6-bb29-290074666e43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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271 ---------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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272 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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273 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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274 You can call the <tt>iplot</tt> function to view the resulting waveform:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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275 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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276 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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277 iplot(asaw);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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278 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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279 <img src="images/ao_create_sawtooth.png" alt="Sawtooth waveform" border="3" width="600px">
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Daniele Nicolodi <nicolodi@science.unitn.it>
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280
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Daniele Nicolodi <nicolodi@science.unitn.it>
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281 <hr>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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282 <h4><a name="pzmodel"></a>Creating AOs from pole zero models</h4>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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283
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
284 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285 When generating an AO from a pole zero model, the noise generator function is called.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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286 This a method to generate arbitrarily long time series with a prescribed spectral density.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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287 The algorithm is based on the following paper:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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288 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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289 <p>Franklin, Joel N.:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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290 <i> Numerical simulation of stationary and non-stationary gaussian
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Daniele Nicolodi <nicolodi@science.unitn.it>
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291 random processes </i>, SIAM review, Volume {<b> 7</b>}, Issue 1, page 68--80, 1965.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
292 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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293 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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294 The Document <i> Generation of Random time series with prescribed spectra </i> by Gerhard Heinzel (S2-AEI-TN-3034) <br> corrects a mistake in the aforesaid paper and describes the practical implementation.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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295 The following code creates an AO with a time series having a prescribed spectral density,
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
296 defined by the input pole zero model:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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297 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
298
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
299 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
300 f1 = 5;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
301 f2 = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
302 f3 = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
303 gain = 1;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
304 fs = 10; <span class="comment">%sampling frequancy</span>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
305 nsecs = 100; <span class="comment">%number of seconds to be generated</span>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
306
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
307 p = [pz(f1) pz(f2)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
308 z = [pz(f3)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
309 pzm = pzmodel(gain, p, z);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
310 a = ao(pzm, nsecs, fs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
311 ----------- ao 01: noisegen(None) -----------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
312
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Daniele Nicolodi <nicolodi@science.unitn.it>
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313 name: noisegen(None)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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314 data: (0,9.20287001568168) (0.1,-3.88425345108961) (0.2,6.31042718242658) ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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315 -------- tsdata 01 ------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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316
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Daniele Nicolodi <nicolodi@science.unitn.it>
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317 fs: 10
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Daniele Nicolodi <nicolodi@science.unitn.it>
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318 x: [1000 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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319 y: [1000 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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320 dx: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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321 dy: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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322 xunits: [s]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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323 yunits: []
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Daniele Nicolodi <nicolodi@science.unitn.it>
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324 nsecs: 100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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325 t0: 1970-01-01 00:00:00.000
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Daniele Nicolodi <nicolodi@science.unitn.it>
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326 -------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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327
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Daniele Nicolodi <nicolodi@science.unitn.it>
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328 hist: ao / ao / SId: fromPzmodel ... $-->$Id: ao ... S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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329 mdlfile: empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
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330 description:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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331 UUID: 4a89d910-8672-475f-91cd-4fcc4b52a6b4
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Daniele Nicolodi <nicolodi@science.unitn.it>
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332 ---------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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333 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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334 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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335 You can call the <tt>iplot</tt> function to view the resulting noise.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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336 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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337 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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338 iplot(a);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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339 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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340 <img src="images/ao_create_niose.png" alt="Random time series" border="3" width="600px">
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Daniele Nicolodi <nicolodi@science.unitn.it>
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341