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2 "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd">
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11 <title>Downsampling 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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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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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;"> </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_2.html"><img src="b_prev.gif" border="0" align=
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30 "bottom" alt="Topic 2 - Pre-processing of data"></a> <a href=
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31 "ltpda_training_topic_2_2.html"><img src="b_next.gif" border="0" align=
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32 "bottom" alt="Upsampling a time-series AO"></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>Downsampling 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
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41 Downsampling reduces the sampling rate of the input AOs by an integer factor, which can be very useful for example to reduce data load.
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42
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43 <p>The <tt>downsample</tt> method takes the following parameters:
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44 <table cellspacing="0" class="body" cellpadding="2" border="0" width="80%">
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45 <colgroup>
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46 <col width="25%"/>
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47 <col width="75%"/>
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48 </colgroup>
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49 <thead>
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50 <tr valign="top">
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51 <th class="categorylist">Key</th>
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52 <th class="categorylist">Description</th>
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53 </tr>
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54 </thead>
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55 <tbody>
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56 <!-- Key 'factor' -->
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57 <tr valign="top">
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58 <td bgcolor="#f3f4f5">
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59 <p><tt>FACTOR</tt></p>
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60 </td>
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61 <td bgcolor="#f3f4f5">
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62 <p>The decimation factor [by default is 1: no downsampling] (must be an integer)</p>
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63 </td>
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64 </tr>
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65 <!-- Key 'offset' -->
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66 <tr valign="top">
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67 <td bgcolor="#f3f4f5">
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68 <p><tt>OFFSET</tt></p>
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69 </td>
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70 <td bgcolor="#f3f4f5">
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71 <p>The sample offset for where the downsampling starts counting. By default, this value is
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72 zero so it starts counting from the first sample.</p>
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73 </td>
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74 </tr>
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75 </tbody>
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76 </table>
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77 </p>
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78 <h2><a name="example1">Example 1</h2>
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79 <p>
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80 First we'll create a time-series of random white noise at 10Hz. To do that,
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81 define a <tt>plist</tt> with the key/value pairs shown below, and pass these
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82 to the <tt>ao</tt> constructor. If you're using the workbench, add an <tt>ao</tt>
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83 constructor block to the canvas and select the parameter set "From Time-series Function" and
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84 set the parameters as they are in the <tt>plist</tt> below.
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85 </p>
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86 <div class="fragment"><pre>
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87 <span class="comment">% create an AO of random data with fs = 10 Hz;</span>
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88 pl = plist(<span class="string">'name'</span>, <span class="string">'None'</span>, ...
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89 <span class="string">'tsfcn'</span>, <span class="string">'randn(size(t))'</span>, <span class="keyword">...</span>
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90 <span class="string">'fs'</span>, 10, <span class="keyword">...</span>
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91 <span class="string">'yunits'</span>, <span class="string">'m'</span>, <span class="keyword">...</span>
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92 <span class="string">'nsecs'</span>, 10);
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93 x = ao(pl); <span class="comment">% create AO</span>
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94 </pre>
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95 </div>
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96 <p>
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97 Now we will downsample this data by a factor 5 to 2Hz. We use the method <tt>ao/downsample</tt> and set
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98 the downsample factor in the <tt>plist</tt> as shown below.
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99 </p>
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100 <div class="fragment"><pre>
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101 pl_down = plist(<span class="string">'factor'</span>, 5); <span class="comment">% add the decimation factor</span>
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102 x_down = downsample(x, pl_down); <span class="comment">% downsample the input AO, x</span>
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103 iplot(x, x_down) <span class="comment">% plot original,x, and decimated,x_down, AOs</span>
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104 </pre>
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105 </div>
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106 <img src="images/ltpda_training_1/topic2/down1.png" alt="Downsample" border="3">
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107 <br>
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108 <br>
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109 <h2><a name="example2">Example 2</h2>
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110 <p>
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111 The <tt>downsample</tt> method takes an 'offset' key which controls where the counting starts. The default is
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112 to output every Nth sample starting with the first. The 'offset' key tells <tt>downsample</tt> to start the counting
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113 from a sample other than the first. The example
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114 below outputs every 4th sample starting from sample 10.
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115 </p>
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116 <div class="fragment"><pre>
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117 pl_downoff = plist(<span class="string">'factor'</span>, 4,<span class="string">'offset'</span>,10); <span class="comment">% add decimation factor and offset parameter</span>
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118 x_downoff = downsample(x, pl_downoff); <span class="comment">% downsample the input AO, x</span>
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119 iplot(x, x_downoff) <span class="comment">% plot original,x, and decimated,x_downoff, AOs</span>
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120 </pre>
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121 </div>
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122 <img src="images/ltpda_training_1/topic2/down2.png" alt="Downsample" border="3">
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123
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124
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125
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126 </p>
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127
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128 <br>
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129 <br>
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130 <table class="nav" summary="Navigation aid" border="0" width=
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131 "100%" cellpadding="0" cellspacing="0">
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132 <tr valign="top">
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133 <td align="left" width="20"><a href="ltpda_training_topic_2.html"><img src=
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134 "b_prev.gif" border="0" align="bottom" alt=
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135 "Topic 2 - Pre-processing of data"></a> </td>
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136
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137 <td align="left">Topic 2 - Pre-processing of data</td>
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138
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139 <td> </td>
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140
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141 <td align="right">Upsampling a time-series AO</td>
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142
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143 <td align="right" width="20"><a href=
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144 "ltpda_training_topic_2_2.html"><img src="b_next.gif" border="0" align=
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145 "bottom" alt="Upsampling a time-series AO"></a></td>
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146 </tr>
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147 </table><br>
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148
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149 <p class="copy">©LTP Team</p>
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150 </body>
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151 </html>
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