activity
20192024
most citedFast Deep Learning for Automatic Modulation Classification

136 citations · 140 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Turkey Behavior Identification System with a GUI Using Deep Learning and Video Analytics

Shengtai Ju, Sneha Mahapatra, Marisa A. Erasmus +2

In this paper, we propose a video analytics system to identify the behavior of turkeys. Turkey behavior provides evidence to assess turkey welfare, which can be negatively impacted…

eess.SP2020

Ensemble Wrapper Subsampling for Deep Modulation Classification

Sharan Ramjee, Shengtai Ju, Diyu Yang +3

Subsampling of received wireless signals is important for relaxing hardware requirements as well as the computational cost of signal processing algorithms that rely on the output s…

cs.LG2019

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…

eess.SP20194 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.SP2019136 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…