Full Radio Spectrum Awareness Using Machine Learning and Deep Learning
Full Radio Spectrum Awareness Using Machine Learning and Deep Learning
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,... Read more