16 citations · 25 across the 3 of their papers we have counts for
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eess.SP2022★ 5 cited
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks
Adam Wunderlich, Jack Sklar
Random noise arising from physical processes is an inherent characteristic of measurements and a limiting factor for most signal processing and data analysis tasks. Given the recen…
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…