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Yes, we are working with Andreas and others to make EEGLAB more
compatible with Octave. However, this only concern compatibility for
computational purposes, not graphical ones. There is no plan to have
the full EEGLAB graphics and menu ported to Octave.<br>
<br>
Arno<br>
<br>
Andreas Romeyke wrote:
<blockquote cite="mid:465FC2C1.5050803@cbs.mpg.de" type="cite">
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Hi Brian,
Brian Murphy schrieb:
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<pre wrap="">But, presumably this could be automated. So, perhaps something like this
would work:
- determine the largest contiguous piece of RAM available to Matlab (I
understand from previous posts that it is contiguous RAM rather than
total RAM that matters), lets call this A(vailable)
- estimate the total memory needed for the final imported data (in my
experience, it seems to be the raw filesize by a factor of three) - F(inal)
- then the temporary space available for conversion T(emp) is A-F
- then determine how big a fraction of the input file can be dealt with
at a time - divide the Temporary space by the peak conversion factor C
(again, in my experience, more than 10 times the original filesize of
RAM is required - what is other people's experience?): T/C
- then split the time-course of the original file (of size O) into O/C
pieces.
- load these pieces in
- merge them
- discard the pieces
Any comments? I am new to Matlab and EEGLAB, so much or all of what I've
</pre>
</blockquote>
<pre wrap=""><!---->Under Linux my workaround is to add swapspace temporarily.
In the near(?) future I expect that EEGlab will also run under GNU
Octave (<a class="moz-txt-link-freetext" href="http://www.octave.org">http://www.octave.org</a>). In my experiences Octave does not have
such a memory problem like Matlab, I think.
Bye Andreas
- --
Software Developer / Dipl. Inform. (FH)
Max Planck Institute for Human Cognitive and Brain Sciences
Department of Psychology
Stephanstr. 1a, 04103 Leipzig, Germany
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