[SciPy-user] is there an equivalent of ICALAB ?

Gabriel J.L. Beckers beckers@orn.mpg...
Sat Jan 12 03:04:29 CST 2008


And now that I am at it: if there are people interested in getting more
blind source separation (BSS) techniques into SciPy, we should organize
something to get this going. In neuroscience and other fields BSS/ICA is
becoming increasingly important. It is a pity to see that there are so
many good open source initiatives in neuroscience (e.g. EEGLAB and
Chronux) that are based on MATLAB, while I am sure that by now everybody
(user/programmer/taxpayer) would be much better off if they used Python.

Gabriel 


On Sat, 2008-01-12 at 09:47 +0100, Gabriel J.L. Beckers wrote:
> Hi Stef,
> 
> As Emanuele already said MDP is the way to go. It is highly recommended.
> 
> It has two ICA algorithms. I ported a third one (JADE) to NumPy/Python,
> see 
> 
> http://www.gbeckers.nl/pages/neuroinf.html
> 
> , where you can download it. I am in the process of integrating that
> code into MDP.
> 
> Best, Gabriel
> 
> 
> On Fri, 2008-01-11 at 10:09 +0100, Stef Mientki wrote:
> > hello,
> > 
> > I would love to do some tests with ICALAB
> >   http://www.bsp.brain.riken.jp/ICALAB/ICALABSignalProc/
> > but don't want to go back to MatLab ;-)
> > 
> > Is there something (similar) available in SciPy ?
> > 
> > thanks,
> > Stef Mientki
> > 
> > 
> > Het UMC St Radboud staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 41055629.
> > The Radboud University Nijmegen Medical Centre is listed in the Commercial Register of the Chamber of Commerce under file number 41055629.
> > 
> > 
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> 
> 
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