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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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1 <h2>Description</h2>
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2 <p>
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3 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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4 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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5 </p>
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6 <h2>Syntax</h2>
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7 <div class="fragment"><pre>
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8 <br>
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9 b = resample(a, pl)
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10 </pre>
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11 </div>
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12 <h2>Parameters</h2>
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13 <p> The following parameters can be set:
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14 <ul>
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15 <li> <tt>fsout</tt> - specify the desired output frequency (must be positive and integer)</li>
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16 <li> <tt>filter</tt> - specified filter applied to the input, <tt>a</tt>, in the resampling process</li>
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17 </ul>
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18 </p>
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19 <p>
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20 <h2>Examples</h2>
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21 </p>
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22 <p>
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23 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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24 </p>
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25 <div class="fragment"><pre>
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26 <br>
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27 <span class="comment">% create an AO of random data with fs = 10 Hz</span>
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28 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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29 x = ao(pl);
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30 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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31 iplot(x, y) <span class="comment">% plot original and resampled data</span>
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32 </pre>
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33 </div>
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34 <br>
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35 <br>
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36 <img src="images/resample1.png" alt="Resample">
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37 <br>
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38 <br>
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39 <br>
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40 <p>
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41 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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42 a filter defined by the user.
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43 </p>
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44 <div class="fragment"><pre>
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45 <br>
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46 <span class="comment">% create an AO of random data with fs = 10 Hz</span>
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47 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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48 x = ao(pl)
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49
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50 <span class="comment">% filter definition</span>
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51 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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52 f = mfir(plfilter)
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53
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54 <span class="comment">% resampling</span>
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55 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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56 y = resample(x, pl); <span class="comment">% resample the input AO (x) to obtain the resampled output AO (y)</span>
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57 iplot(x, y) <span class="comment">% plot original and resampled data</span>
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58 </pre>
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59 </div>
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60 <br>
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61 <br>
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62 <img src="images/resample2.png" alt="Resample" border="0">
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63
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