diff m-toolbox/html_help/help/ug/ltpda_training_topic_1_6.html @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
parents
children
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/html_help/help/ug/ltpda_training_topic_1_6.html	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,173 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
+   "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd">
+
+<html lang="en">
+<head>
+  <meta name="generator" content=
+  "HTML Tidy for Mac OS X (vers 1st December 2004), see www.w3.org">
+  <meta http-equiv="Content-Type" content=
+  "text/html; charset=us-ascii">
+
+  <title>Constructing AOs from data files (LTPDA Toolbox)</title>
+  <link rel="stylesheet" href="docstyle.css" type="text/css">
+  <meta name="generator" content="DocBook XSL Stylesheets V1.52.2">
+  <meta name="description" content=
+  "Presents an overview of the features, system requirements, and starting the toolbox.">
+  </head>
+
+<body>
+  <a name="top_of_page" id="top_of_page"></a>
+
+  <p style="font-size:1px;">&nbsp;</p>
+
+  <table class="nav" summary="Navigation aid" border="0" width=
+  "100%" cellpadding="0" cellspacing="0">
+    <tr>
+      <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td>
+
+      <td valign="baseline" align="right"><a href=
+      "ltpda_training_topic_1_5.html"><img src="b_prev.gif" border="0" align=
+      "bottom" alt="Saving and loading AOs"></a>&nbsp;&nbsp;&nbsp;<a href=
+      "ltpda_training_topic_1_7.html"><img src="b_next.gif" border="0" align=
+      "bottom" alt="Writing LTPDA scripts"></a></td>
+    </tr>
+  </table>
+
+  <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Constructing AOs from data files</h1>
+  <hr>
+  
+  <p>
+	<p>
+  You can build AOs from existing ASCII data files. Various formats are supported,
+  for example, multiple columns, files containing comments.
+</p>
+<br>
+<h2>Install the data pack</h2>
+<br>
+<p>
+  The data-pack for this training session should be downloaded from the <a href="http://www.lisa.aei-hannover.de/ltpda/training_sessions/training_session_1/training_session_1.html">LTPDA web-site</a>.
+  The zip file will expand to a top-level directory. This should contain sub-directories
+  for each topic of the training session.
+</p>
+<p>
+  The rest of the tutorial will assume that you have changed directories in MATLAB
+  to the data-pack directory so that filenames are relative to that directory. To
+  change the working directory of MATLAB, either use the MATLAB interface
+  or type
+</p>
+<div class="fragment"><pre>
+  cd /path/to/my/data/pack
+</pre></div>
+<br>
+<h2>Create an AO from a simple ASCII file</h2>
+<br>
+<p>
+  The data-pack contains a simple two-column text file which represents a time-series
+  sampled at 10Hz. The first column contains the time-stamps, the second column the amplitude values.
+</p>
+<p>
+  To convert this data file to an AO, use the following command:
+</p>
+<div class="fragment"><pre>
+>> pl = plist(<span class="string">'filename'</span>, <span class="string">'topic1/simpleASCII.txt'</span>, ...
+              <span class="string">'columns'</span>, [1 2], ...
+              <span class="string">'type'</span>, <span class="string">'tsdata'</span>);
+>> a = ao(pl)
+M:     constructing from plist
+M:     load file: simpleASCII.txt
+M:     constructing from filename and/or plist
+M:     constructing from data object tsdata
+----------- ao 01: simpleASCII.txt_01_02 -----------
+
+       name: simpleASCII.txt_01_02
+       data: (0,1.13549060238654) (0.1,2.37202031808076) (0.2,-0.531181753855465) (0.3,1.25684477541224) (0.4,1.30895517480354) ...
+             -------- tsdata 01 ------------
+
+                 fs:  10
+                  x:  [1000 1], double
+                  y:  [1000 1], double
+                 dx:  [0 0], double
+                 dy:  [0 0], double
+             xunits:  []
+             yunits:  []
+              nsecs:  100
+                 t0:  1970-01-01 00:00:00.000
+             -------------------------------
+
+       hist: ao / ao / SId: fromDatafile.m,v 1.39 2011/04/18 16:55:26 ingo Exp S-->SId: ao.m,v 1.346 2011/05/07 06:56:17 mauro Exp S
+description:
+       UUID: bde61c39-2c7e-4e77-9c15-6e6a4cc29e12
+----------------------------------------------------
+</pre></div>
+<p>
+  From the output on the screen you can see that
+  <ol>
+    <li>the name of the AO has automatically been set based on the filename and
+    the columns of data loaded</li>
+    <li>the sample rate of the data is 10Hz, as expected</li>
+    <li>the length of the data is 100s</li>
+  </ol>
+</p>
+<p>
+  You can plot this data and see that it is just a randon noise time-series.
+</p>
+<br>
+<h2>Create an AO from a multi-column ASCII file</h2>
+<br>
+<p>
+  The data-pack contains a data file which contains multiple columns of data. Here
+  we will load only selected columns from the file and produce multiple AOs, one
+  for each column loaded. Column 1 of the file contains the time-stamps; columns
+  2-6 contain sine waves at frequencies 1-5Hz.
+</p>
+<p>
+  Let's load the 2Hz and 4Hz sine waves from the file. At the same time, we'll
+  give the AOs names, Y units, and descriptions.
+</p>
+<div class="fragment"><pre>
+sigs = ao(plist(<span class="string">'filename'</span>, <span class="string">'topic1/multicolumnASCII.txt'</span>, ...
+                <span class="string">'type'</span>, <span class="string">'tsdata'</span>, ...
+                <span class="string">'columns'</span>, [1 3 1 5], ...
+                <span class="string">'name'</span>, {<span class="string">'sin2'</span>, <span class="string">'sin4'</span>}, ...
+                <span class="string">'yunits'</span>, {<span class="string">'m'</span>, <span class="string">'m'</span>}, ...
+                <span class="string">'description'</span>, {<span class="string">'sine wave at 2Hz'</span>, <span class="string">'sine wave at 4Hz'</span>}))
+</pre></div>
+<p>
+  You can plot the results and focus on the first 2 seconds of data
+</p>
+<div class="fragment"><pre>
+    sigs.iplot(plist(<span class="string">'XRanges'</span>, [0 2]))
+</pre></div>
+
+
+
+
+
+
+
+  </p>
+
+  <br>
+  <br>
+  <table class="nav" summary="Navigation aid" border="0" width=
+  "100%" cellpadding="0" cellspacing="0">
+    <tr valign="top">
+      <td align="left" width="20"><a href="ltpda_training_topic_1_5.html"><img src=
+      "b_prev.gif" border="0" align="bottom" alt=
+      "Saving and loading AOs"></a>&nbsp;</td>
+
+      <td align="left">Saving and loading AOs</td>
+
+      <td>&nbsp;</td>
+
+      <td align="right">Writing LTPDA scripts</td>
+
+      <td align="right" width="20"><a href=
+      "ltpda_training_topic_1_7.html"><img src="b_next.gif" border="0" align=
+      "bottom" alt="Writing LTPDA scripts"></a></td>
+    </tr>
+  </table><br>
+
+  <p class="copy">&copy;LTP Team</p>
+</body>
+</html>