1.6k citations · 1.6k across the 7 of their papers we have counts for
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cs.LG2018★ 1 cited
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
Timothy J. O'Shea, Tamoghna Roy, Nathan West
Channel modeling is a critical topic when considering designing, learning, or evaluating the performance of any communications system. Most prior work in designing or learning new…
cs.LG2017★ 1.6k cited
Over the Air Deep Learning Based Radio Signal Classification
Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
We conduct an in depth study on the performance of deep learning based radio signal classification for radio communications signals. We consider a rigorous baseline method using hi…