[Eeglablist] information regarding the signal enhancement methods

[Makoto Miyakoshi]

Dear Rajyalakshmi,

Makeig and colleagues have been writing many papers that advocate ICA since
1996.

Makoto


2013/9/27 Rajyalakshmi Matta <rajyalakshmiphd at gmail.com>

> dear all,
>
> I studied the methods on signal enhancement methods. most of authors
> stated that Independent Component Analysis is the best method for removal
> of artifacts.
>
>  Even it is also have some limitations like it is not suitable in under
> determined case ( where no of sources less than no of variables to be
> found) and also it is not applicable to situations where less no.of
> electrodes are used for signal capturing.
>
> Some of them used Principal Component Analysis, common spatial pattern.
>
> And for filtering adaptive filters, spatial filters and butter worth
> filters for signal enhancement. most of them used adaptive filters/ spatial
> filters.
>
> I want to know which one is best filter and why it is best?
> Is there any other process which will best fits to the EEG signal in
> improving its signal -to-noise ratio
> Any one please help.
>
> thanks in advance.
>
>
> --
> M. Rajya Lakshmi
> Assoc. Professor
> Dept. of CSE
> PBRVITS
> Kavali
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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