Hi Kartik, ha! Sorry for mixing this up. Yes, in that case, you'd be the GSoC participant, not the mentor :)
I've pinged the right people. Hopefully we can get your account going. Best regards, Marcus On 02/06/2017 08:55 PM, Kartik Patel wrote: > Hi Marcus, > > I was interested in implementing this myself. Sorry for not > clarifying. It would be my first time contributing a whole new feature > to GNU Radio. I believe, the mentoring should be from someone who is > more frequent contributor? If someone is interested in being the > mentor to the project, it would be great. > > I can add to wiki, but I don't have account on redmine. It is waiting > to be approved from Admin for a long time. > > Regards, > Kartik Patel > > > > On Tue, Feb 7, 2017 1:19 AM, Marcus Müller marcus.muel...@ettus.com > <mailto:marcus.muel...@ettus.com> wrote: > > Hi Kartik, > > sorry, we've all been pretty busy over the Weekend – FOSDEM and stuff. > > So, I personally think this is a pretty great idea that you should > definitely put on the GNU Radio wiki page for GSoC ideas – if > someone has a great idea how to improve what you're proposing, > it's a wiki for a reason – so frankly, go for it. Notice that it'd > be awesome if you putting this on the page also meant that you'd > agree to at least partially mentor the student that picks that topic! > > Best > > > On 02/06/2017 08:26 PM, Kartik Patel wrote: >> Hello all, >> >> Any discussion over statistical toolbox? >> >> Thank you. >> >> Regards, >> Kartik Patel >> >> >> >> On Wed, Feb 1, 2017 1:32 AM, Kartik Patel >> kartikpatel1...@gmail.com <mailto:kartikpatel1...@gmail.com> wrote: >> >> Hi Marcus, >> >> Sorry for replying late. I was travelling. >> >> My point is we can have a statistical module for GNU Radio. >> Although Scipy has extensive library available, we can have >> it's wrappers for GNU Radio. We can use those wrappers in >> GRC. Basically, all major statistical analysis can be done at >> GRC level instead of going to the python/c++ backend. >> >> There are some fundamental statistical tools (can be extended >> with suggestions from community): 1. generation of RV, 2. >> various distributions and distribution fitting, 3. >> regressions 4. hypothesis testing (including non-parametric >> testing which basically check whether current samples matches >> a particular distribution or not) 5. parameter estimations. >> We will need various distributions/functions from Scipy. >> >> So, consider a scenario where we have a block of "random >> variable generators" which will get input from a block called >> "distribution" which will specify the distribution as well as >> it's parameters. >> There can be another block for "distribution fitting". Which >> will take two inputs: vector of samples and input from >> "distribution" block. >> Consider a hypothesis testing scenario: Get a input vector: >> Provide a condition of testing (like energy of vector should >> be greater than some value). >> Consider a testing mechanism where we test whether a sample >> vector is taken from a distribution or not (aka >> non-parametric goodness-of-fit based testing): It may take >> input from a "distribution block" and set of samples. and >> based on value of some "false alarm probability", it will >> give the decision. >> >> We can try to make these testing completely generic. Like, >> you can write whole equation in textbox in GRC (may be. need >> to see how can we do it). It's similar to some blocks in >> Simulink (not sure exactly which one, but I remember those). >> >> Note1: the "distribution" block will provide a distribution >> object. It may work internally, or externally. That's debatable. >> Note2: This is a idea. We can discuss on various >> implementation approaches once the scope of project etc are >> discussed. >> >> Regards, >> Kartik Patel >> >> >> >> On Thu, Jan 26, 2017 11:51 PM, Marcus Müller >> marcus.muel...@ettus.com <mailto:marcus.muel...@ettus.com> wrote: >> >> Hi Kartik, >> >> I heartily agree with you, you need a lot of random >> variables, but the question is: in which shape? >> >> Do you need the noise source to produce more different >> types of amplitude distributions? Do you need those in >> the channel models? >> >> "Blocks for hypothesis testing" sounds pretty >> interesting. Can you flesh out that idea a little more? >> In my head, I'm not sure what a /hypothesis/ is here. >> >> Best regards, >> >> Marcus >> >> >> On 01/26/2017 05:24 PM, Kartik Patel wrote: >>> 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 <mailto: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 >>> <mailto:Discuss-gnuradio@gnu.org> >>> >>> https://lists.gnu.org/mailman/listinfo/discuss-gnuradio >>> >>> >>> >>> >>> _______________________________________________ >>> Discuss-gnuradio mailing list Discuss-gnuradio@gnu.org >>> <mailto:Discuss-gnuradio@gnu.org> >>> https://lists.gnu.org/mailman/listinfo/discuss-gnuradio >> >
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