Co-sponsored by: Concordia University, Circuits and Systems Society, IEEE Montreal Section, ReSMiQ – Regroupement Stratégique en Microsystèmes du Québec

Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. This presentation discusses research results in the use of ML and DL in radio spectrum activity identification, modulation classification, medium access protocol classification, and wireless service identification.

Speaker(s): Dr. Yu-Dong Yao,

Location:
Room: Room EV002.184
Bldg: Concordia U., ECE Department
1515 Ste. catherine West (corner with Guy Street)
Montreal, Quebec