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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 18:04:34 +0100 |
parents | f0afece42f48 |
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<h2>Description</h2> <p> Upsampling is the process of increasing the sampling rate of a signal. <a href="matlab:doc('ao/upsample')"><tt>Upsample</tt></a> increases the sampling rate of the input AOs by an integer factor. LTPDA <a href="matlab:doc('ao/upsample')"><tt>upsample</tt></a> overloads <tt>upsample</tt> function from Matlab Signal Processing Toolbox. This function increases the sampling rate of a signal by inserting (n-1) zeros between samples. The upsampled output has (n*input) samples. In addition, an initial phase can be specified and, thus, a delayed output of the input can be obtained by using this option. <br> <br> <h2>Syntax</h2> </p> <div class="fragment"><pre> <br> b = upsample(a, pl) </pre> </div> <h2>Parameters</h2> <p> The following parameters can be set in this method: <ul> <li> <tt>N</tt> - specify the desired upsample rate </li> <li> <tt>phase</tt> - specify an initial phase range [0, N-1]</li> </ul> </p> <p> <h2>Examples</h2> </p> <p> 1. Upsampling a sequence of random data at original sampling rate of 1 Hz by a factor of 10 with no initial phase. </p> <div class="fragment"><pre> <br> pl = plist(<span class="string">'tsfcn'</span>, <span class="string">'randn(size(t))'</span>,<span class="string">'fs'</span>,1,<span class="string">'yunits'</span>,<span class="string">'m'</span>,<span class="string">'nsecs'</span>,100); x = ao(pl); pl_up = plist(<span class="string">'N'</span>, 10); <span class="comment">% increase the sampling frequency by a factor of 10</span> y = upsample(x, pl_up); <span class="comment">% resample the input AO (x) to obtain the upsampled AO (y)</span> iplot(x, y) </pre> </div> </p> <br> <img src="images/upsample1.png" alt="Upsample" border="3"> <br> <p> 2. Upsampling a sequence of random data at original sampling rate of 1 Hz by a factor of 21 with a phase of 20 samples. </p> <div class="fragment"><pre> <br> pl = plist(<span class="string">'tsfcn'</span>, <span class="string">'randn(size(t))'</span>,<span class="string">'fs'</span>,1,<span class="string">'yunits'</span>,<span class="string">'m'</span>,<span class="string">'nsecs'</span>,100); x = ao(pl); pl_upphase = plist(<span class="string">'N'</span>, 21,<span class=string>'phase'</span>, 20); <span class="comment">% increase the sampling frequency and add phase of 20 samples to upsampled data</span> y = upsample(x, pl_upphase); <span class="comment">% resample the input AO (x) to obtain the upsampled and delayed AO (y)</span> iplot(x, y) </pre> </div> </p> <br> <img src="images/upsample2.png" alt="Upsample" border="3">