annotate m-toolbox/html_help/help/ug/ltpda_training_topic_1_3.html @ 52:daf4eab1a51e database-connection-manager tip

Fix. Default password should be [] not an empty string
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:29:47 +0100
parents f0afece42f48
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1 <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
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2 "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd">
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3
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4 <html lang="en">
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5 <head>
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6 <meta name="generator" content=
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7 "HTML Tidy for Mac OS X (vers 1st December 2004), see www.w3.org">
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8 <meta http-equiv="Content-Type" content=
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9 "text/html; charset=us-ascii">
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10
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11 <title>Making a time-series AO (LTPDA Toolbox)</title>
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12 <link rel="stylesheet" href="docstyle.css" type="text/css">
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13 <meta name="generator" content="DocBook XSL Stylesheets V1.52.2">
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14 <meta name="description" content=
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15 "Presents an overview of the features, system requirements, and starting the toolbox.">
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16 </head>
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17
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18 <body>
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19 <a name="top_of_page" id="top_of_page"></a>
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20
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21 <p style="font-size:1px;">&nbsp;</p>
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22
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23 <table class="nav" summary="Navigation aid" border="0" width=
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24 "100%" cellpadding="0" cellspacing="0">
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25 <tr>
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26 <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td>
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27
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28 <td valign="baseline" align="right"><a href=
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29 "ltpda_training_topic_1_2.html"><img src="b_prev.gif" border="0" align=
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30 "bottom" alt="Making AOs"></a>&nbsp;&nbsp;&nbsp;<a href=
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31 "ltpda_training_topic_1_4.html"><img src="b_next.gif" border="0" align=
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32 "bottom" alt="Basic math with AOs"></a></td>
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33 </tr>
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34 </table>
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35
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36 <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Making a time-series AO</h1>
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37 <hr>
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38
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39 <p>
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40 <h2>Exercise 4</h2>
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41 <p>
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42 Time-series data are stored in a data object of the class <tt>tsdata</tt>.
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43 As a user, you don't need to care about this, but it's sometimes
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 nice to know how things work. There are various ways (constructors)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 to build time-series AOs. For example, you can give a set of values and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 a sample rate like
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47 </p>
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48 <div class="fragment"><pre>
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49 a = ao([1 2 3 4 5], 2)
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50 </pre></div>
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51 <p>
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52 The first argument is the Y data vector; the second, the sample rate.
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53 </p>
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54 <p>
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55 If you run this command in the MATLAB terminal you should see
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56 </p>
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57 <div class="fragment"><pre>
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58 >> a = ao([1 2 3 4 5], 2)
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59 M: constructing from Y values and fs
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60 ----------- ao 01: a -----------
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61
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62 name: ''
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63 data: (0,1) (0.5,2) (1,3) (1.5,4) (2,5)
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64 -------- tsdata 01 ------------
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65
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66 fs: 2
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67 x: [1 5], double
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68 y: [1 5], double
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69 dx: [0 0], double
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70 dy: [0 0], double
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71 xunits: [s]
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72 yunits: []
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73 nsecs: 2.5
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74 t0: 1970-01-01 00:00:00.000
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75 -------------------------------
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76
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77 hist: ao / ao / SId: fromXYVals.m,v 1.10 2011/05/07 05:15:26 mauro Exp S-->SId: ao.m,v 1.346 2011/05/07 06:56:17 mauro Exp S
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78 description:
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79 UUID: 2484d029-4616-4b22-8229-7685c8d3e847
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80 --------------------------------
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81 </pre></div>
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82 <p>
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83 Now you see that the data type is <tt>tsdata</tt> and the X units are automatically
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84 set to seconds ('s'). You can also see that the data series spans 2.5s
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85 and that the first sample corresponds to 1970-01-01 00:00:00.000 UTC.
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86 You can set further properties of the object, for example
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87 </p>
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88 <p>
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89 <div class="fragment"><pre>
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90 a.setT0(<span class="string">'2009-02-03 12:23:44'</span>);
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91 a.setDescription(<span class="string">'My lovely time-series'</span>)
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92 </pre></div>
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93 </p>
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94 <br>
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95 <p>
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96 You can do all of this in one block on the workbench. To do that:
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97 <ol>
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98 <li>Start the workbench and create a new pipeline</li>
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99 <li>Drag an AO constructor block from the library (or use "Quick Block")</li>
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100 <li>Select the block and select the "From XY Values" parameter set</li>
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101 <li>Click the "Set" button to set the parameters to the block</li>
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102 <li>Double-click the value cell for the key "YVALS" and enter some values, e.g., <tt>1:10</tt></li>
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103 <li>Double-click the value cell for the key "FS" and enter a sample frequency, e.g., <tt>2</tt>. By
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104 setting a set of values for the Y-data and a sample rate, we tell the AO constructor that we want to
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105 build a <tt>tsdata</tt> AO.</li>
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106 <li>To set the name of the block, double click the block and enter a name in the dialog box. Automatic
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107 setting of AO names from the block name only happens for constructor blocks. To the set the name of AOs
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108 which are outputs of all other block types, use the <tt>setName</tt> block.
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109 </li>
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110 <li>You'll notice that the parameter list doesn't contain a <tt>T0</tt> parameter by default, but you can
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111 easily add this parameter by clicking on the "plus" button below the parameter list. Enter the key <tt>T0</tt>
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112 in the dialog box, and an appropriate value in the next dialog box. (Note: parameter key names are case
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113 insensitive.)</li>
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114 <li>You can do the same for the description, or any other property of the AO.</li>
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115 </ol>
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116 </p>
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117 <p>
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118 The final parameter list in this case might look like:
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119 </p>
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120 <img src="images/ltpda_training_1/topic1/tsdata_pset.png" alt="Time-series parameter set" border="1">
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121
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122 <br>
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123 <br>
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124 <!-- Plists -->
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125 <h2>Digression: Introducing parameter lists</h2>
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126 <br>
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127 <p>
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128 The time has come to go back to that <tt>plist</tt> command we saw earlier when plotting
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129 the AO history via the graphviz renderer.
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130 </p>
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131 <p>
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132 The following two commands are equivalent:
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133 </p>
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134 <div class="fragment"><pre>
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135 a = ao([1 2 3 4 5], 2);
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136 a = ao(plist(<span class="string">'yvals'</span>, [1 2 3 4 5], <span class="string">'fs'</span>, 2))
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137 </pre></div>
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138 <p>
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139 Here we introduce the idea of parameter lists (<tt>plist</tt>). A <tt>plist</tt> is a list
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140 of parameters, each parameter being defined by a key/value pair. The key of
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141 a <tt>plist</tt> is always a string and is always case insensitive. The value can be
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142 anything: a number, a string, another LTPDA object, a cell-array, a structure, etc. For more
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143 information about parameter lists, see the <a href="plist_intro.html">appropriate section</a>
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144 of the LTPDA user manual.
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145 </p>
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146 <p>
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147 Going on with time-series objects: The following is almost equivalent:
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148 </p>
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149 <div class="fragment"><pre>
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150 a = ao(plist(<span class="string">'xvals'</span>, [0 0.5 1 1.5 2], <span class="string">'yvals'</span>, [1 2 3 4 5]))
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151 </pre></div>
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152 <p>
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153 The difference is, if you run this command, you will see that the resulting
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154 AO has data of type <tt>xydata</tt>. To make this a time-series object,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 we need to tell the constructor some more information. Either you need to
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 specify the sample-rate, or you can explicitly set the data type:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 <div class="fragment"><pre>
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159 a = ao(plist(<span class="string">'xvals'</span>, [0 0.5 1 1.5 2], <span class="string">'yvals'</span>, [1 2 3 4 5], <span class="string">'fs'</span>, 2))
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160 a = ao(plist(<span class="string">'xvals'</span>, [0 0.5 1 1.5 2], <span class="string">'yvals'</span>, [1 2 3 4 5], <span class="string">'type'</span>,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 <span class="string">'tsdata'</span>))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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164 <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1">
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165 <tr width="90%">
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166 <td>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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167 The elipsis (<tt>...</tt>) in MATLAB means join the two lines.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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168 </td>
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169 </tr>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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170 </table>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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171 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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172 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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173 If you specify the samples rate with the key 'fs', then the 'xvals'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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174 are just ignored. If you tell the data type with the key 'type', then
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175 the sample rate is computed from the 'xvals'.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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176 </p>
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177 <p>
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178 You can add additional parameters to these constructor lines. For example,
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179 </p>
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180 <div class="fragment"><pre>
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181 a = ao(plist(<span class="string">'xvals'</span>, [0 0.5 1 1.5 2], <span class="string">'yvals'</span>, [1 2 3 4 5], ...
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182 <span class="string">'type'</span>, <span class="string">'tsdata'</span>, ...
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183 <span class="string">'name'</span>, <span class="string">'Bob'</span>, ...
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184 <span class="string">'t0'</span>, <span class="string">'2008-09-01'</span>))
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185 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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186 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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187 There are other constructors which make constructing time-series AOs from
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Daniele Nicolodi <nicolodi@science.unitn.it>
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188 simulated data more convenient. Two of these are discussed below.
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189 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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190 <br>
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191 <!-- Time-series f(t) -->
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192 <h2>Times-series AO as a function of <tt>t</tt></h2>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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193 <br>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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194 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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195 If you want to specify your time-series as a function of the variable <tt>t</tt>,
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196 then you can use the following constructor:
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197 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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198 <div class="fragment"><pre>
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199 a = ao(plist(<span class="string">'tsfcn'</span>, <span class="string">'t.^2 + t'</span>, ...
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200 <span class="string">'fs'</span>, 10, <span class="string">'nsecs'</span>, 1000))
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201 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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202 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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203 You specify the function of t with the key 'tsfcn', then give the sample
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Daniele Nicolodi <nicolodi@science.unitn.it>
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204 rate and the number of seconds. If you run this command you should see the output:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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205 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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206 <div class="fragment"><pre>
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207 >> a = ao(plist('tsfcn', 't.^2 + t', 'fs', 10, 'nsecs', 1000))
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208 M: constructing from plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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209 ----------- ao 01: a -----------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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210
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211 name: ''
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212 data: (0,0) (0.1,0.11) (0.2,0.24) (0.3,0.39) (0.4,0.56) ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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213 -------- tsdata 01 ------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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214
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Daniele Nicolodi <nicolodi@science.unitn.it>
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215 fs: 10
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Daniele Nicolodi <nicolodi@science.unitn.it>
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216 x: [10000 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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217 y: [10000 1], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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218 dx: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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219 dy: [0 0], double
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Daniele Nicolodi <nicolodi@science.unitn.it>
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220 xunits: [s]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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221 yunits: []
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Daniele Nicolodi <nicolodi@science.unitn.it>
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222 nsecs: 1000
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Daniele Nicolodi <nicolodi@science.unitn.it>
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223 t0: 1970-01-01 00:00:00.000
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Daniele Nicolodi <nicolodi@science.unitn.it>
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224 -------------------------------
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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 hist: ao / ao / SId: fromTSfcn.m,v 1.22 2010/07/28 16:31:01 ingo Exp S-->SId: ao.m,v 1.346 2011/05/07 06:56:17 mauro Exp S
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Daniele Nicolodi <nicolodi@science.unitn.it>
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227 description:
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228 UUID: d01615d6-82ad-4736-8a0e-4096dc023149
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229 --------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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230 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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231 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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232 You can write any valid MATLAB expression as a function of <tt>t</tt>.
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233 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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234 <p>
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235 Plists can be reused, of course. Suppose we define a recipe for an AO as
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236 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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237 <div class="fragment"><pre>
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238 pl = plist(<span class="string">'tsfcn'</span>, <span class="string">'randn(size(t))'</span>, <span class="string">'fs'</span>, 10, <span class="string">'nsecs'</span>, 1000)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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239 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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240 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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241 then we can make repeated AOs from this recipe:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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242 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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243 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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244 a1 = ao(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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245 a2 = ao(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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246 <span class="comment">% Or use the random factory:</span>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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247 <span class="comment">% a = ao.randn(nsecs, fs)</span>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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248 a3 = ao.randn(1000, 10)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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249 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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250 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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251 Here we have made three AOs with different random white-noise data vectors.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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252 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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253 <br>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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254 <h2>Digression: plotting the data</h2>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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255 <br>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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256 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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257 To plot the data in the AO, you can use the intelligent plotting method, <tt>iplot</tt>.
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258 For example, type in the MATLAB terminal:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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259 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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260 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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261 a1.iplot
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Daniele Nicolodi <nicolodi@science.unitn.it>
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262 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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263 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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264 and you should see a plot like the one below.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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265 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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266 <img src="images/ltpda_training_1/topic1/iplot1.png" alt="iplot example 1" border="1">
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Daniele Nicolodi <nicolodi@science.unitn.it>
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267 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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268 We can make a more interesting plot if we first specify some of the properties
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Daniele Nicolodi <nicolodi@science.unitn.it>
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269 of the AOs. For example, type the following commands to set the names and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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270 Y units of the two AOs we made earlier:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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271 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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272 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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273 a1.setName
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Daniele Nicolodi <nicolodi@science.unitn.it>
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274 a2.setName
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Daniele Nicolodi <nicolodi@science.unitn.it>
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275 setYunits(a1,a2,<span class="string">'N'</span>)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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276 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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277 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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278 Now plot both time-series together with:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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279 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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280 <div class="fragment"><pre>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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281 iplot(a1,a2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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282 </pre></div>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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283 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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284 and you shoud see a plot like the following:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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285 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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286 <img src="images/ltpda_training_1/topic1/iplot2.png" alt="iplot example 2" border="1">
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Daniele Nicolodi <nicolodi@science.unitn.it>
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287 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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288 <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1">
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289 <tr width="90%">
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Daniele Nicolodi <nicolodi@science.unitn.it>
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290 <td>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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291 Calling the <tt>setName</tt> method with no input argument causes the AO to be
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Daniele Nicolodi <nicolodi@science.unitn.it>
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292 named with the variable name.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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293 </td>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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294 </tr>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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295 </table>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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296 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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297 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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298 <tt>iplot</tt> has many configurable parameters which are (mostly) documented in the help.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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299 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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300 <br>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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301 <!-- Time-series waveform -->
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Daniele Nicolodi <nicolodi@science.unitn.it>
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302 <h2>Times-series AO from built in waveforms</h2>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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303 <br>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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304 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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305 MATLAB has various functions for creating standard waveforms, for example,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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306 sine waves, square waves, and saw-tooth signals. These are available as
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
307 convenient AO constructors. For example suppose we want to create a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
308 square-wave pulse train with a 30% duty cycle at 2Hz sampled at
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Daniele Nicolodi <nicolodi@science.unitn.it>
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309 100Hz lasting for 5s, then we can do
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310 </p>
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311 <div class="fragment"><pre>
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312 sw = ao(plist(<span class="string">'waveform'</span>, <span class="string">'square wave'</span>, <span class="string">'f'</span>, 2, <span class="string">'duty'</span>, 30, ...
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313 <span class="string">'fs'</span>, 100, <span class="string">'nsecs'</span>, 5))
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314 </pre></div>
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315 <p>
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316 If you run that command and plot the result, you should see the square wave you were expecting:
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317 </p>
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318 <img src="images/ltpda_training_1/topic1/iplot_squarewave.png" alt="iplot squarewave" border="1">
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319 <p>
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320 You can construct various different waveforms, but each has different parameters
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321 to set. The help of the AO method details the possibilities (<tt>help ao -> click on "Parameters Description" -> select "From Window"</tt>); here is the relevant extract:
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322 </p>
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323 <div class="fragment"><pre>
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324 'waveform' - a waveform description (see options below).
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325
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326 You can also specify additional parameters:
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327 'fs' - sampling frequency [default: 10 Hz]
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328 'nsecs' - length in seconds [default: 10 s]
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329 't0' - time-stamp of the first data sample [default time(0)]
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330
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331 and, for the following waveform types:
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332 'sine wave' - 'A', 'f', 'phi', 'nsecs', 'toff'
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333 (can be vectors for sum of sine waves)
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334 'A' - Amplitude of the wave
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335 'f' - Frequency of the wave
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336 'phi' - Phase of the eave
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337 'nsecs' - Number of seconds (in seconds)
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338 'toff' - Offset of the wave (in seconds)
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339 'gaps' - Instead of defining an offset it is possible to
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340 define a gap (in seconds) before the sine wave.
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341 'noise' - 'type' (can be 'Normal' or 'Uniform')
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342 'sigma' specify the standard deviation
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343 'chirp' - 'f0', 'f1', 't1' (help chirp)
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344 'gaussian pulse' - 'f0', 'bw' (help gauspuls)
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345 'square wave' - 'f', 'duty' (help square)
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346 'sawtooth' - 'f', 'width' (help sawtooth)
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347
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348 You can also specify the initial time (t0) associated with
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349 the time-series by passing a parameter 't0' with a value
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350 that is a time object.
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351 </pre></div>
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352
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353
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354
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355
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356
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357 </p>
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358
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359 <br>
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360 <br>
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361 <table class="nav" summary="Navigation aid" border="0" width=
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362 "100%" cellpadding="0" cellspacing="0">
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363 <tr valign="top">
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364 <td align="left" width="20"><a href="ltpda_training_topic_1_2.html"><img src=
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365 "b_prev.gif" border="0" align="bottom" alt=
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366 "Making AOs"></a>&nbsp;</td>
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367
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368 <td align="left">Making AOs</td>
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369
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370 <td>&nbsp;</td>
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371
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372 <td align="right">Basic math with AOs</td>
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373
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374 <td align="right" width="20"><a href=
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375 "ltpda_training_topic_1_4.html"><img src="b_next.gif" border="0" align=
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376 "bottom" alt="Basic math with AOs"></a></td>
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377 </tr>
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378 </table><br>
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379
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380 <p class="copy">&copy;LTP Team</p>
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381 </body>
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382 </html>