[Eeglablist] EEG parameterization

Tim Mullen mullen.tim at gmail.com
Mon Jan 27 12:13:31 PST 2014


oh don't worry about typeproc -- it's reserved for future use. Just put 0
there.

Tim


On Mon, Jan 27, 2014 at 5:19 AM, Ibtissem KHOUAJA BENFRADJ <
ibtissem.khouaja at live.fr> wrote:

> Dear Tim,
>
> I followed the link in the http://sccn.ucsd.edu/wiki/SIFT
> and I tried to read the documents available.
> But by applying in "est_fitMVAR_DEKF", I find difficulties to assign the
> inputs.
> I do not understand the variable "typeproc".
>
> Can you please tell me what it is exactly.
>
> Thank you so much
>
>
> Ibtissem KHOUAJA BENFRADJ
>
> PhD in computer science
> Speciality Signal Processing
> Laboratory LTIM, University of Monastir, Tunisia
> http://www.labtim.org/accueil.php
> Laboratory LIGM, Univerisity of Paris-East, France
> http://ligm.u-pem.fr/
>
>
>
>
> ------------------------------
> From: mullen.tim at gmail.com
> Date: Wed, 15 Jan 2014 18:26:48 -0800
>
> Subject: Re: [Eeglablist] EEG parameterization
> To: ibtissem.khouaja at live.fr
> CC: eeglablist at sccn.ucsd.edu
>
>
> The function (<sift-root>/est/est_fitMVAR_DEKF.m) is included in SIFT
> 1.0-beta and later, which you can obtain from the EEGLAB plugin manager or
> the SIFT website.
>
> Best,
> Tim
>
>
> On Wed, Jan 15, 2014 at 5:28 AM, Ibtissem KHOUAJA BENFRADJ <
> ibtissem.khouaja at live.fr> wrote:
>
>
> 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 BENFRADJ
> PhD in computer science
> Speciality Signal Processing
> Laboratory LTIM, University of Monastir, Tunisia
> http://www.labtim.org/accueil.php
> Laboratory 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:
> >
>
>
>
>
> --
> ---------  αντίληψη -----------
>



-- 
---------  αντίληψη -----------
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