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annotate m-toolbox/html_help/help/ug/sigproc_spec.html @ 39:11e3ed9d2115 database-connection-manager

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Implement databases listing in database connection dialog
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +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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9 "text/html; charset=us-ascii">
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10
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11 <title>Spectral Estimation (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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17
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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 "sigproc_diff.html"><img src="b_prev.gif" border="0" align=
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30 "bottom" alt="Discrete Derivative"></a>&nbsp;&nbsp;&nbsp;<a href=
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31 "sigproc_intro.html"><img src="b_next.gif" border="0" align=
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32 "bottom" alt="Introduction"></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>Spectral Estimation</h1>
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37 <hr>
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38
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39 <p>
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40 <p>
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41 Spectral estimation is a branch of the signal processing, performed on data
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42 and based on frequency-domain techniques.<br>
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43 Within the LTPDA toolbox many functions of the Matlab <a href="matlab:doc('signal')" >Signal Processing Toolbox</a>
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44 (which is required) were rewritten to operate on LTPDA Analysis Objects.
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45 Univariate and multivariate technique are available, so to estimate for example the linear
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46 power spectral density or the cross spectral density of one or more signals. The focus of the
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47 tools is on time-series objects, whose spectral content needs to be estimated.<br>
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48 More detailed help on spectral estimation can also be found in the help associated with
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49 the Signal Processing Toolbox:
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50 <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1">
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51 <tr width="90%">
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52 <td>
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53 >> doc signal
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54 </td>
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55 </tr>
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56 </table>
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57 </p>
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58
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59 </p>
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60
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61 <br>
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62 <br>
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63 <table class="nav" summary="Navigation aid" border="0" width=
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64 "100%" cellpadding="0" cellspacing="0">
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65 <tr valign="top">
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66 <td align="left" width="20"><a href="sigproc_diff.html"><img src=
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67 "b_prev.gif" border="0" align="bottom" alt=
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68 "Discrete Derivative"></a>&nbsp;</td>
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69
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70 <td align="left">Discrete Derivative</td>
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71
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72 <td>&nbsp;</td>
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73
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74 <td align="right">Introduction</td>
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75
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76 <td align="right" width="20"><a href=
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77 "sigproc_intro.html"><img src="b_next.gif" border="0" align=
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78 "bottom" alt="Introduction"></a></td>
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79 </tr>
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80 </table><br>
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81
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82 <p class="copy">&copy;LTP Team</p>
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83 </body>
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84 </html>