Dear Ibtissem,<div><br></div><div>Check out topoplot.m line 951. It interpolates the channels.</div><div><br></div><div>Makoto <br><br><div class="gmail_quote">2013/3/26 Ibtissem Khouaja b.Fraj <span dir="ltr"><<a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a>></span><br>
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<div style="font-family:Tahoma;font-size:10pt">Hello, </div><div style="font-family:Tahoma;font-size:10pt">thank you for your reply.</div><div style="font-family:Tahoma;font-size:10pt"><br></div><div><font face="Tahoma" size="3"><span style="font-size:13px">My project is just to insert a new point that does not really exist on the scalp.</span></font></div>
<div><div style="font-family:Tahoma;font-size:13px">After the prediction of the amplitude variation of this point at any time, it will be covered by an electrode and we test the validity of the prediction algorithm.</div>
<div style="font-family:Tahoma;font-size:13px">For example, between points Cz, Pz and C4 that already knows the amplitude variation, we seek a point X which lies between these three points.</div><div style="font-family:Tahoma;font-size:13px">
<br></div><div><font face="Tahoma" size="3"><span style="font-size:13px">There exists an algorithm very useful in image processing and in increasing the number of pixels in an image, is called the bilinear interpolation algorithm. I don't know if it can be helpful in my project or not.</span></font></div>
</div><div><font face="Tahoma" size="3"><span style="font-size:13px">I work with Matlab and I need some algorithme to solve the problem.</span></font></div><div><font face="Tahoma" size="3"><span style="font-size:13px"><br>
</span></font></div><div><font face="Tahoma" size="3"><span style="font-size:13px">help me please, thank you!</span></font></div><div><font face="Tahoma" size="3"><span style="font-size:13px"><br></span></font></div><div>
<font face="Tahoma" size="3"><span style="font-size:13px">Ibti
ssem</span></font></div><div><font face="Tahoma" size="3"><span style="font-size:13px"><br></span></font></div><br><br><div style="font-family:Tahoma;font-size:10pt"><div></div>> Date: Tue, 12 Mar 2013 14:27:52 -0400<br>
> Subject: Re: [Eeglablist] signal prediction in Matlab<br>> From: <a href="mailto:vivek.yadav@gmail.com" target="_blank">vivek.yadav@gmail.com</a><br>> To: <a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a><br>
> <br>> hello,<br>> try spherical interpolation in EEG.<br>> thanks<br>> <br>> <br>> On Tue, Mar 12, 2013 at 4:33 AM, Ibtissem Khouaja b.Fraj<br>> <<a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a>> wrote:<br>
> ></div><div style="font-family:Tahoma;font-size:10pt">--------------------------------------------------------------------------------</div><div style="font-family:Tahoma;font-size:10pt"><br></div><div style="font-family:Tahoma;font-size:10pt">
<br></div><div style="font-family:Tahoma;font-size:10pt"> Hi all,<br>> &g!
t; knowing the location of recording signals on the scalp, I want to pred new<div><div class="h5"><br>> > locations not covered by electrodes to refine the result.<br>> > I need an algorithme in Matlab to do the linear prediction from the matrice<br>
> > describing 18 sites.<br>> ><br>> > hope you understand my question.<br>> > Thank a lot.<br>> ><br></div></div><div class="im">> > _______________________________________________<br>
> > Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>> > To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu" target="_blank">eeglablist-unsubscribe@sccn.ucsd.edu</a><br>
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> <br>> -- <br></div>> Vivek Yadav, PhD<br>> Post-Doctoral Scholar,<br>> Movement Neuroscience Lab,<br>> 29 Rec Hall,<br>> Pennsylvania State University,<br>> University Park, PA-16801<br>> <br>
> "Nothing in life is to b!
e feared, it is only to be understood." ~ Marie Curie<br></div>
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-- <br>Makoto Miyakoshi<br>JSPS Postdoctral Fellow for Research Abroad<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
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