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Remove broken functions from utils.jmysql
author
Daniele Nicolodi <nicolodi@science.unitn.it>
date
Mon, 05 Dec 2011 16:20:06 +0100 (2011-12-05)
parents
f0afece42f48
children
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+ − <h2>Description</h2>
+ − <p>
+ − Interpolation of data can be done in the LTPDA Toolbox by means of
+ − <a href="matlab:doc('ao/interp')"><tt>interp</tt></a>.
+ − This function interpolates the values in the input AO(s) at new values specified by the
+ − input parameter list.
+ − </p>
+ − <p>
+ − <a href="matlab:doc('ao/interp')"><tt>Interp</tt></a> overloads <tt>interp1</tt> function of
+ − Matlab Signal Processing Toolbox for AOs.
+ − </p>
+ − <br>
+ − <br>
+ − <h2>Syntax</h2>
+ − </p>
+ − <div class="fragment"><pre>
+ − <br>
+ − b = interpolate(a, pl)
+ − </pre>
+ − </div>
+ − <h2>Parameters</h2>
+ − <p>
+ − The following parameters can be set in the method:
+ − <ul>
+ − <li> <tt>vertices</tt> - specify the new vertices to interpolate on </li>
+ − <li> <tt>method</tt> - four methods are available for interpolating data</li>
+ − <ul>
+ − <li> 'nearest'- nearest neighbor interpolation </li>
+ − <li> 'linear' - linear interpolation </li>
+ − <li> 'spline' - spline interpolation (default option) </li>
+ − <li> 'cubic' - shape-preserving piecewise cubic interpolation </li>
+ − </ul>
+ − </ul>
+ − For details see <tt>interp1</tt> help of Matlab.
+ − </p>
+ − <p>
+ − <h2>Examples</h2>
+ − </p>
+ − <p>
+ − 1. Interpolation of 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>
+ − <span class="comment">% Signal generation</span>
+ − pl = plist(<span class="string">'tsfcn'</span>,<span class="string">'sin(2*pi*1.733*t)'</span>,...
+ − <span class="string">'fs'</span>,1,<span class="string">'nsecs'</span>,10,...
+ − <span class="string">'yunits'</span>,<span class="string">'V'</span>);
+ − x = ao(pl);
+ − <span class="comment">% Interpolate on a new time vector</span>
+ − t = linspace(0, x.data.nsecs - 1/x.data.fs, 2*len(x));
+ − pl_spline = plist(<span class="string">'vertices'</span>,t);
+ − pl_nearest = plist(<span class="string">'vertices'</span>,t,<span class="string">'method'</span>,<span class="string">'nearest'</span>);
+ − x_spline = interp(x,pl_spline);
+ − x_nearest = interp(x,pl_nearest);
+ − iplot([x x_spline x_nearest], plist(<span class="string">'Markers'</span>, {<span class="string">'x'</span>, <span class="string">'o'</span>, <span class="string">'+'</span>}, ...
+ − <span class="string">'LineColors'</span>, {<span class="string">'k'</span>, <span class="string">'r'</span>}));
+ − </pre>
+ − </div>
+ − <br>
+ − <br>
+ − <img src="images/interp.png" alt="Interpolate" border="0">