[Eeglablist] EEG parameterization

[Ibtissem KHOUAJA BENFRADJ]

Thank you Tim,
I actually need the non linear filter to study the EEG signaland to extract these features.

I find the linear filte (est_fitMVARKalman) on the net but I can't find the socond one (est_fitMVAREKF).
Can you send me the link.

thanks a lot.
-----------
Ibtissem KHOUAJA BENFRADJPhD in computer scienceSpeciality Signal ProcessingLaboratory LTIM, University of Monastir, Tunisiahttp://www.labtim.org/accueil.phpLaboratory LIGM, Univerisity of Paris-East, France http://ligm.u-pem.fr/



> Date: Wed, 8 Jan 2014 18:04:46 -0800
> Subject: Re: [Eeglablist] EEG parameterization
> From: mullen.tim at gmail.com
> To: ibtissem.khouaja at live.fr; eeglablist at sccn.ucsd.edu
> CC: 
> 
> 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. 
> 
> Tim
> 
> -----Original Message-----
> Date: Wednesday, January 08, 2014 1:40:42 pm
> To: "EEGLAB-list" <eeglablist at sccn.ucsd.edu>
> From: "Ibtissem KHOUAJA BENFRADJ" <ibtissem.khouaja at live.fr>
> Subject: Re: [Eeglablist] EEG parameterization
> 
> 
> 
> 
> 
> Thank you very much for your answers and happy new year 2014.
> 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.
> This gives the possibility of reconstructing the signal and to predict its evolution.
> Is there someone who work with this type of auto-regressive filter?I need the algorithm in Matlab.
> Thank a lot for your precious help, Ibtissem
> 
> 
> 
> ---------------------------------------------------------------------------
> ---------------------------------------------------------------------------
> > From: poil.simonshlomo at gmail.com
> > Date: Thu, 19 Dec 2013 21:43:51 +0100
> > Subject: Re: [Eeglablist] EEG parameterization
> > To: ibtissem.khouaja at live.fr
> > CC: eeglablist at sccn.ucsd.edu
> > 
> > Dear Ibtissem,
> > 
> > There are several ways you can characterize an EEG signal. The two
> > basic are frequency and amplitude in different frequency bands (and
> > spatial location). You can see more here:
> 
 		 	   		  
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20140115/07ff933d/attachment.html>