111 citations · 115 across the 2 of their papers we have counts for
Showing eess.SPShow all
2 papers · 1 filter
eess.SP2021★ 4 cited
Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks
Jack Sklar, Adam Wunderlich
High-quality recordings of radio frequency (RF) emissions from commercial communication hardware in realistic environments are often needed to develop and assess spectrum-sharing t…
eess.SP2018★ 111 cited
Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing
W. Max Lees, Adam Wunderlich, Peter Jeavons +2
In the United States, the Federal Communications Commission has adopted rules permitting commercial wireless networks to share spectrum with federal incumbents in the 3.5~GHz Citiz…