<html>
<head>
<style><!--
.hmmessage P
{
margin:0px;
padding:0px
}
body.hmmessage
{
font-size: 12pt;
font-family:Calibri
}
--></style></head>
<body class='hmmessage'><div dir='ltr'><font style="" color="#000000" face="Times New Roman"><br id="FontBreak"></font>Thank you Tim,<br>I actually need the non linear filter to study the EEG signaland to extract these features.<br><br>I find the linear filte (est_fitMVARKalman) on the net but I can't find the socond one (est_fitMVAREKF).<br>Can you send me the link.<br><br>thanks a lot.<br><font style="background-color: rgb(255, 255, 255); font-size: 10pt;" color="#666666" face="Comic Sans MS" size="2">-----------</font><font style="background-color: rgb(255, 255, 255); font-size: 10pt;" color="#666666" face="Comic Sans MS" size="2"><br>Ibtissem KHOUAJA BENFRADJ</font><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">PhD in computer science</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Speciality Signal Processing</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LTIM, University of Monastir, Tunisia</font></span></div><div><a href="http://www.labtim.org/accueil.php" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://www.labtim.org/accueil.php</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LIGM, Univerisity of Paris-East, France </font></span></div><div><a href="http://ligm.u-pem.fr/" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://ligm.u-pem.fr/</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2"><br></font></span></div><div><span style="font-size:12pt;"><br></span></div><br><br><div>> Date: Wed, 8 Jan 2014 18:04:46 -0800<br>> Subject: Re: [Eeglablist] EEG parameterization<br>> From: mullen.tim@gmail.com<br>> To: ibtissem.khouaja@live.fr; eeglablist@sccn.ucsd.edu<br>> CC: <br>> <br>> There are linear and nonlinear kalman filter-based multivariate autoregressive implementations in the Source Information Flow Toolbox for EEGLAB. See est_fitMVARKalman and est_fitMVARDEKF. <br>> <br>> Tim<br>> <br>> -----Original Message-----<br>> Date: Wednesday, January 08, 2014 1:40:42 pm<br>> To: "EEGLAB-list" <eeglablist@sccn.ucsd.edu><br>> From: "Ibtissem KHOUAJA BENFRADJ" <ibtissem.khouaja@live.fr><br>> Subject: Re: [Eeglablist] EEG parameterization<br>> <br>> <br>> <br>> <br>> <br>> Thank you very much for your answers and happy new year 2014.<br>> On my first question, I am based on your set and literature and I will present the EEG signal from a set of evolutionary parameters based on the Kalman filter.<br>> This gives the possibility of reconstructing the signal and to predict its evolution.<br>> Is there someone who work with this type of auto-regressive filter?I need the algorithm in Matlab.<br>> Thank a lot for your precious help, Ibtissem<br>> <br>> <br>> <br>> ---------------------------------------------------------------------------<br>> ---------------------------------------------------------------------------<br>> > From: poil.simonshlomo@gmail.com<br>> > Date: Thu, 19 Dec 2013 21:43:51 +0100<br>> > Subject: Re: [Eeglablist] EEG parameterization<br>> > To: ibtissem.khouaja@live.fr<br>> > CC: eeglablist@sccn.ucsd.edu<br>> > <br>> > Dear Ibtissem,<br>> > <br>> > There are several ways you can characterize an EEG signal. The two<br>> > basic are frequency and amplitude in different frequency bands (and<br>> > spatial location). You can see more here:<br>> <br></div> </div></body>
</html>