| 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 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
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