22 Oct
2012
22 Oct
'12
12:45 a.m.
Michel Pelletier wrote:
I think it may provide the primitive blocks that you need, even
if they weren't specifically created for radio astronomy.
And as it
happens, the GNU Radio package allows to snap many powerful
signal processing blocks together using python.
Thanks Peter, I have installed gnu-radio and played around with it and
rtlsdr, it was great for getting immediate results and picking around
through the spectrum to see what's around. If it provides
functionality for radio astronomy, of course i would love to use it,
but my very initial investigation didn't reveal much for me. No square wheels here, pyrtlsdr, numpy, scipy, and
matplotlib, are
the precisely machined wheels I'm using so far to just dump and
examine data.
One cool thing about GNU Radio is that while you use python to snap
blocks together the data path is compiled code, so it will beat the
performance of pure-python implementations. I don't know if numpy,
scipy, and matplotlib are, but worth keeping in mind.
Anyway, it's another option - if you need one specific simple signal
process then GNU Radio may be overkill, and if it's simple enough
with no bad performance tradeoff then reinventing that wheel can be
fun and educational.
//Peter