<div> Hi all:</div>
<div> In my mind, to understand the coherence between independent components,you need to learn the difference between multivariate random variable and multivarite time series.Informax ICA give out independent random variable,it's a multivariate random variabel
tehnique.SOBI can regard as a multivariate time series thchnique.components from the former technique exsist some coherence;from the latter, no coherence.</div>
<div> </div>
<div>But, I am not sure i am right. maybe someone can give us further explantion about it.</div>
<div> </div>
<div><br>Thanks,<br> </div>
<div><span class="gmail_quote">On 2/7/06, <b class="gmail_sendername"><a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a></b> <<a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu
</a>> wrote:</span>
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</a><br><br>When replying, please edit your Subject line so it is more specific<br>than "Re: Contents of eeglablist digest..."<br><br><br>Today's Topics:<br><br> 1. Can I do coherence between independent components? (Zhang Yan)
<br><br><br><br>---------- Forwarded message ----------<br>From: "Zhang Yan" <<a href="mailto:zhang@ccs.fau.edu">zhang@ccs.fau.edu</a>><br>To: <a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu
</a><br>Date: Mon, 6 Feb 2006 11:37:42 -0500 (EST)<br>Subject: [Eeglablist] Can I do coherence between independent components?<br>Hi, Dear All:<br><br>I am recently working on ICA. One question confused me: could I do<br>
coherence analysis between independent components of EEG?<br><br>Because ICA assume sources are mutually uncorrelated. So after ICA, the<br>separated sources should be uncorrelated. However, some people used ICA<br>and then did coherence analysis among components. What is the basic theory
<br>for doing that? Could you recommend some papers for their theory?<br><br>Thank you very much.<br><br>Rachel/<br><br><br><br>_______________________________________________<br>eeglablist mailing list <a href="mailto:eeglablist@sccn.ucsd.edu">
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