Hi Martin,
Till now, based on my experience in communication systems, I saw extensive need
of probability and random variables.
So, now, if we are considering GNU Radio to be a full-fledged communication
systems simulator, I think we can have wrappers of statistical analysis
functions of Scipy. We can have GRC blocks for the same.
So, for an example, for spectrum sensing applications, instead of writing a code
with Scipy library, we can have some blocks for direct hypothesis testing.
Regards,Kartik Patel
On Thu, Jan 26, 2017 4:07 PM, Martin Braun martin.br...@ettus.com wrote:
On 01/26/2017 12:07 AM, Kartik Patel wrote:
Hi,
I am not sure how relevant is this, but it's worth a consideration.
Can we have a probability and statistical toolbox? It may include
various probabilistic distributions, their random number generators,
their PDFs and CDFs. These are very much useful in a communication
system analysis. (Example: middleton noise etc. for simulations). Even
adding various statistical functions like hypothesis testing,
regressions, distribution fitting etc. can be added.
Sure, although scipy has pretty good ones already. Can you elaborate on
how this would be useful for GNU Radio specifically?
-- M
_______________________________________________
Discuss-gnuradio mailing list
Discuss-gnuradio@gnu.org
https://lists.gnu.org/mailman/listinfo/discuss-gnuradio
_______________________________________________
Discuss-gnuradio mailing list
Discuss-gnuradio@gnu.org
https://lists.gnu.org/mailman/listinfo/discuss-gnuradio
