[USRP-users] 2021 IEEE Aerospace Conference

Alex Humberstone alex.m.humberstone at gmail.com
Sun Jul 5 08:29:46 EDT 2020


Thank you David!


On Sat, 4 Jul 2020 at 10:10, David Bengtson <david.bengtson at gmail.com>
wrote:

> 2020 Program
> https://ieee-aess.org/conference/2020-ieee-aerospace-conference-aeroconf
> 2019 program
> https://ieee-aess.org/conference/2019-ieee-aerospace-conference
> 2018 program
> https://ieee-aess.org/conference/2018-ieee-aerospace-conference
>
> Perhaps this is sufficient?
>
> On Thu, Jun 25, 2020 at 6:35 PM Alex Humberstone
> <alex.m.humberstone at gmail.com> wrote:
> >
> > Any update?
> >
> > Would like to see the program for past conferences...
> >
> >
> >
> > On Fri, 19 Jun 2020 at 22:44, Alex Humberstone <
> alex.m.humberstone at gmail.com> wrote:
> >>
> >> Eugene, the conference looks interesting. Where can we find the program
> for past years to get a feel for the conference? I didn't see this on the
> website. Thanks.
> >>
> >>
> >> On Fri, 19 Jun 2020 at 17:02, Eugene Grayver via USRP-users <
> usrp-users at lists.ettus.com> wrote:
> >>>
> >>> Hello,
> >>>
> >>>
> >>>
> >>> I am chairing the Software Defined and Cognitive Radio session at the
> upcoming IEEE Aerospace Conference (http://www.aeroconf.org).  This large
> conference will take place March 6-13, 2021 in Big Sky, Montana.  The
> conference provides a world-class technical program and provides excellent
> opportunities for both networking and recreation. This is one of the few
> conferences where SDR can be put in the context of a complete system and
> can be applied to new missions and concepts of operations.
> >>>
> >>>
> >>>
> >>> Last year there were a few papers dealing with application of
> machine/deep learning to radio design.  I hope to see even more next year!
> >>>
> >>> Abstracts are due soon, but I can take them a bit later as well, while
> the full paper is due end of October.  This session will focus on flexible
> radio architectures, including the use of GPPs, GPUs,  and FPGAs.  Reports
> of existing systems and testbeds are of significant interest.  This year
> I’d like to introduce work related to machine learning as applied to
> wireless communications.
> >>>
> >>>
> >>>
> >>> Please forward this to your colleagues working in the areas of SDR and
> cognitive radio.
> >>>
> >>>
> >>> Regards,
> >>>
> >>> Eugene.
> >>>
> >>>
> >>>
> >>> _______________________________________________
> >>> USRP-users mailing list
> >>> USRP-users at lists.ettus.com
> >>> http://lists.ettus.com/mailman/listinfo/usrp-users_lists.ettus.com
> >>
> >>
> >>
> >> --
> >> Sincerely,
> >> Alex-M-Humberstone
> >> PhD Student
> >> Klipsch School of Electrical Engineering
> >> New Mexico State University
> >> Las Cruces, New Mexico
> >>
> >
> >
> > --
> > Sincerely,
> > Alex-M-Humberstone
> > PhD Student
> > Klipsch School of Electrical Engineering
> > New Mexico State University
> > Las Cruces, New Mexico
> >
>


-- 
Sincerely,
Alex-M-Humberstone
PhD Student
Klipsch School of Electrical Engineering
New Mexico State University
Las Cruces, New Mexico
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