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This demo shows the BER performance of linear, decision feedback (DFE),
and maximum likelihood sequence estimation (MLSE) equalizers when
operating in a static channel with a deep null. The MLSE equalizer is
invoked first with perfect channel knowledge, then with an imperfect,
although straightforward, channel estimation algorithm. The BER results
are determined through Monte Carlo simulation. The demo shows how to
use these equalizers seamlessly across multiple blocks of data, where
equalizer state must be maintained between data blocks.<br>
<br>
The demo plots the BER results dynamically, per Eb/No value. While the
simulation is running at a particular Eb/No value, the plotted BER
point will change its position on the plot to indicate how the
collection of many errors reduces the variance of the BER estimate.<br>
<br>
The demo also shows the burst error performance of each of the classes
of equalizers. It does so by showing a modified histogram of the
intervals between consecutive errors. If a high percentage of errorless
intervals is less than about five bits, then the error performance can
be considered bursty.<br>
<br>
The following executable files are included with this demo:<br>
<br>
eqberdemo - main simulation executive<br>
eqber_adaptive - simulation loop for adaptive linear and DFE equalizers<br>
eqber_mlse - simulation loop for MLSE equalizers with and without perfect channel estimation<br>
eqber_siggen - generation of noisy, channel-filtered BPSK signals<br>
eqber_graphics - functions to create and update data visualization<br>
<br>
To run the demo, simply type "eqberdemo" at the MATLAB command line.<br>
<br>
In addition, this demo includes the following HTML files that enable
you to browse through formatted versions of the simulation code. These
HTML files are:<br>
<br>
eqberdemo.html<br>
eqber_adaptive.html<br>
eqber_mlse.html<br>
eqber_siggen.html<br>
<br>
The HTML includes images of the demo output at various stages of its execution. <br>
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<td colspan="2" height="15"><a href="#" onclick="var w=window.open('http://www.mathworks.com/matlabcentral/files/5417/content/eqber_adaptive.html','small','toolbar=no,location=yes,resizable=yes,status=yes,menu=no,scrollbars=yes,width=700,height=600');w.focus();">EQBER_ADAPTIVE - Simulation of linear and DFE equalizers</a><br><a href="#" onclick="var w=window.open('http://www.mathworks.com/matlabcentral/files/5417/content/eqber_mlse.html','small','toolbar=no,location=yes,resizable=yes,status=yes,menu=no,scrollbars=yes,width=700,height=600');w.focus();">EQBER_MLSE - Simulation of MLSE equalizers with and without perfect channel knowledge</a><br><a href="#" onclick="var w=window.open('http://www.mathworks.com/matlabcentral/files/5417/content/eqber_siggen.html','small','toolbar=no,location=yes,resizable=yes,status=yes,menu=no,scrollbars=yes,width=700,height=600');w.focus();">EQBER_SIGGEN - Generate a noisy, channel-filtered signal to be equalized</a><br><a href="#" onclick="var w=window.open('http://www.mathworks.com/matlabcentral/files/5417/content/eqberdemo.html','small','toolbar=no,location=yes,resizable=yes,status=yes,menu=no,scrollbars=yes,width=700,height=600');w.focus();">BER Performance of Several Equalizer Types</a><br></td>
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<td valign="top" width="25%"><b>File Id:</b></td>
<td width="20%">5417</td>
<td valign="top" width="25%"><b>Average rating:</b></td>
<td width="29%">3.53</td>
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<td valign="top"><b>Size:</b></td>
<td>100 KB</td>
<td valign="top"><b># of reviews:</b></td>
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<td valign="top"><b>Submitted:</b></td>
<td>2004-07-06</td>
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<td valign="top"><b>Keywords:</b></td>
<td colspan="3" valign="top">equalizer, adaptive, linear, decision feedback, maximum likelihood seq</td>
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<td valign="top"><b>Zip file contents:</b></td>
<td colspan="3" valign="top">eqber_adaptive.html,
eqber_mlse.html, eqber_siggen.html, eqberdemo.html, eqberdemo.png,
eqberdemo_01.png, eqberdemo_02.png, eqberdemo_03.png, eqberdemo_04.png,
eqberdemo_05.png, eqberdemo_06.png, eqberdemo_07.png, eqberdemo_08.png,
eqberdemo_09.png, eqberdemo_10.png, eqberdemo_11.png, eqberdemo_12.png,
figposition.m, eqberREADME.txt, eqberdemo_13.png, eqberdemo.m,
eqber_adaptive.m, eqber_graphics.m, eqber_mlse.m, eqber_siggen.m</td>
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<!--Acknowledgements -->
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<td bgcolor="#dcdfe4"><b>Date</b>: 2008-05-16<br>
<strong>From</strong>: Yuanliu Li (liyuanliu2005@yahoo.com.cn) <br>
<strong>Rating</strong>:
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<strong>Comments</strong>:
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<td bgcolor="#dcdfe4"><b>Date</b>: 2007-12-22<br>
<strong>From</strong>: Rodhwan Al-Hetar (rodhwan@yahoo.com) <br>
<strong>Rating</strong>:
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<strong>Comments</strong>: excellent
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<td bgcolor="#dcdfe4"><b>Date</b>: 2007-09-07<br>
<strong>From</strong>: mario moor (mario234@hotmail.com) <br>
<strong>Rating</strong>:
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<strong>Comments</strong>: no source code included !!!!
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