136 citations · 236 across the 23 of their papers we have counts for
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eess.SP2019★ 4 cited
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
Xiwen Zhang, Tolunay Seyfi, Shengtai Ju +3
We study the problem of interference source identification, through the lens of recognizing one of 15 different channels that belong to 3 different wireless technologies: Bluetooth…
eess.SP2019★ 136 cited
Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
In this work, we investigate the feasibility and effectiveness of employing deep learning algorithms for automatic recognition of the modulation type of received wireless communica…