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Re: [USRP-users] 2021 IEEE Aerospace Conference


From: Alex Humberstone
Subject: Re: [USRP-users] 2021 IEEE Aerospace Conference
Date: Sun, 5 Jul 2020 07:29:46 -0500

Thank you David!


On Sat, 4 Jul 2020 at 10:10, David Bengtson <david.bengtson@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@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@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@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@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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