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Re: [USRP-users] 2021 IEEE Aerospace Conference


From: David Bengtson
Subject: Re: [USRP-users] 2021 IEEE Aerospace Conference
Date: Sat, 4 Jul 2020 11:10:14 -0400

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
>



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