annotate m-toolbox/html_help/help/ug/resample.html @ 51:9d5c88356247 database-connection-manager

Make unit tests database connection parameters configurable
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:24:37 +0100
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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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10
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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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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 "upsample.html"><img src="b_prev.gif" border="0" align=
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30 "bottom" alt="Upsampling data"></a>&nbsp;&nbsp;&nbsp;<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>&nbsp;</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>&nbsp;</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">&copy;LTP Team</p>
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129 </body>
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130 </html>