136 citations · 140 across the 6 of their papers we have counts for
3 papers · 1 filter
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates
Xingchen Wang, Shengtai Ju, Xiwen Zhang +2
We study efficient deep learning training algorithms that process received wireless signals, if a test Signal to Noise Ratio (SNR) estimate is available. We focus on two tasks that…
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…
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…