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+ − 11 <title>Resampling data (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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+ − 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 "upsample.html"><img src="b_prev.gif" border="0" align=
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+ − 30 "bottom" alt="Upsampling data"></a> <a href=
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+ − 31 "interp.html"><img src="b_next.gif" border="0" align=
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+ − 32 "bottom" alt="Interpolating data"></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>Resampling data</h1>
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+ − 37 <hr>
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+ − 38
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+ − 39 <p>
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+ − 40 <h2>Description</h2>
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+ − 41 <p>
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+ − 42 Resampling is the process of changing the sampling rate of data. <a href="matlab:doc('ao/resample')"><tt>Resample</tt></a>
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+ − 43 changes the sampling rate of the input AOs to the desired output sampling frequency. LTPDA <a href="matlab:doc('ao/resample')"><tt>resample</tt></a> overloads <tt>resample</tt> function of Matlab Signal Processing Toolbox for AOs.
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+ − 44 </p>
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+ − 45 <h2>Syntax</h2>
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+ − 46 <div class="fragment"><pre>
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+ − 47 <br>
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+ − 48 b = resample(a, pl)
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+ − 49 </pre>
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+ − 50 </div>
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+ − 51 <h2>Parameters</h2>
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+ − 52 <p> The following parameters can be set:
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+ − 53 <ul>
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+ − 54 <li> <tt>fsout</tt> - specify the desired output frequency (must be positive and integer)</li>
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+ − 55 <li> <tt>filter</tt> - specified filter applied to the input, <tt>a</tt>, in the resampling process</li>
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+ − 56 </ul>
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+ − 57 </p>
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+ − 58 <p>
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+ − 59 <h2>Examples</h2>
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+ − 60 </p>
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+ − 61 <p>
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+ − 62 2. Resampling a sequence of random data at original sampling rate of 1 Hz at an output sampling of 50 Hz.
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+ − 63 </p>
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+ − 64 <div class="fragment"><pre>
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+ − 65 <br>
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+ − 66 <span class="comment">% create an AO of random data with fs = 10 Hz</span>
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+ − 67 pl = plist(<span class="string">'tsfcn'</span>, <span class="string">'randn(size(t))'</span>,<span class="string">'fs'</span>,1,<span class="string">'nsecs'</span>,10,<span class="string">'yunits'</span>,<span class="string">'m'</span>,<span class="string">'nsecs'</span>,100);
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+ − 68 x = ao(pl);
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+ − 69 y = resample(x, plist(<span class="string">'fsout'</span>, 50)); <span class="comment">% resample the input AO (x) to obtain the resampled output AO (y)</span>
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+ − 70 iplot(x, y) <span class="comment">% plot original and resampled data</span>
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+ − 71 </pre>
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+ − 72 </div>
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+ − 73 <br>
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+ − 74 <br>
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+ − 75 <img src="images/resample1.png" alt="Resample">
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+ − 76 <br>
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+ − 77 <br>
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+ − 78 <br>
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+ − 79 <p>
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+ − 80 1. Resampling a sequence of random data at original sampling rate of 10 Hz at an output sampling of 1 Hz with
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+ − 81 a filter defined by the user.
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+ − 82 </p>
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+ − 83 <div class="fragment"><pre>
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+ − 84 <br>
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+ − 85 <span class="comment">% create an AO of random data with fs = 10 Hz</span>
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+ − 86 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>,10,<span class="string">'yunits'</span>,<span class="string">'m'</span>);
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+ − 87 x = ao(pl)
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+ − 88
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+ − 89 <span class="comment">% filter definition</span>
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+ − 90 plfilter = plist(<span class="string">'type'</span>,<span class="string">'lowpass'</span>,<span class="string">'Win'</span>,specwin(<span class="string">'Kaiser'</span>, 10, 150),<span class="string">'order'</span>,32,<span class="string">'fs'</span>,10,<span class="string">'fc'</span>,1);
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+ − 91 f = mfir(plfilter)
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+ − 92
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+ − 93 <span class="comment">% resampling</span>
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+ − 94 pl = plist(<span class="string">'fsout'</span>, 1, <span class="string">'filter'</span>,f); <span class="comment">% define parameters list with fsout = 1 Hz and the defined filter</span>
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+ − 95 y = resample(x, pl); <span class="comment">% resample the input AO (x) to obtain the resampled output AO (y)</span>
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+ − 96 iplot(x, y) <span class="comment">% plot original and resampled data</span>
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+ − 97 </pre>
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+ − 98 </div>
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+ − 99 <br>
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+ − 100 <br>
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+ − 101 <img src="images/resample2.png" alt="Resample" border="0">
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+ − 102
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+ − 104
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+ − 105 </p>
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+ − 106
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+ − 107 <br>
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+ − 108 <br>
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+ − 109 <table class="nav" summary="Navigation aid" border="0" width=
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+ − 110 "100%" cellpadding="0" cellspacing="0">
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+ − 111 <tr valign="top">
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+ − 112 <td align="left" width="20"><a href="upsample.html"><img src=
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+ − 113 "b_prev.gif" border="0" align="bottom" alt=
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+ − 114 "Upsampling data"></a> </td>
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+ − 115
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+ − 116 <td align="left">Upsampling data</td>
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+ − 117
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+ − 118 <td> </td>
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+ − 119
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+ − 120 <td align="right">Interpolating data</td>
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+ − 121
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+ − 122 <td align="right" width="20"><a href=
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+ − 123 "interp.html"><img src="b_next.gif" border="0" align=
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+ − 124 "bottom" alt="Interpolating data"></a></td>
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+ − 125 </tr>
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+ − 126 </table><br>
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+ − 127
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+ − 128 <p class="copy">©LTP Team</p>
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+ − 129 </body>
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+ − 130 </html>