Personal Information
Affiliations
- Virginia Tech / ECE, Research Associate
- DeepSig Inc, Chief Technology Officer
- O’Shea Research LLC, Misc Consulting
Education
- PhD, Electrical Engineering, Virginia Tech
- M.S. Electrical Engineering, N.C. State University
- B.S. Computer Engineering, N.C. State University
Contact
Please contact me with inquiries related to:
- Business or product inquiries into DeepSig Radio Machine Learning technologies (please see https://deepsig.io)
- University research interest in Virginia Tech and related opportunities for students (oshea_at_vt_dot_edu)
- Other consulting inquiries in the area of wireless, machine learning, and security (tim_at_oshearesearch_dot_com)
Hi there,
I work for a company that develope Tuner Modules for car OEMs. For testing purposes I would like to simulate an fading FM channel.
I read your article about the Dynamic GNU Radio Channel Model Enhancements and would like to use your Fading 2 Block. Is is possible? Where can I download the Enhancements?
Thank you very much!
Kind regards,
Konrad Puchalski
They are all merged into the mainline GNU Radio at this point!
hi sir,
I am a post-graduate student in UESTC. recently I am studying on automatic modulation classification. I have read your paper and re-finished the experiment by adopting CNN2 as you said in the paper.
however, the QAM16 and QAM64 seems to be hard to be recognized, which i think longer signal may improve this situation..
so I decide to build a dataset with longer signals.. and now facing some problems..
In “https://github.com/radioML/dataset/blob/master/transmitters.py”(dataset/transmitters.py), you import “mapper”, but the progamm faces the error “mapper has no attribute :mapper.BPSK” and I find that the mapper which i downloaded,is not that”mapper” in your code, is it right?
could you tell me where I can get the right “mapper”…?
hope you reply..(and i am also sry for my poor english)