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20092025
most citedFast Deep Learning for Automatic Modulation Classification

136 citations · 236 across the 23 of their papers we have counts for

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5 papers · 1 filter

eess.SP2020★ 39 cited

Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

Aya Mostafa Ahmed, Udaya Sampath K. P. Miriya Thanthrige, Aly El Gamal +1

We present a MUSIC-based Direction of Arrival (DOA) estimation strategy using small antenna arrays, via employing deep learning for reconstructing the signals of a virtual large an…

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…

eess.SP2020

Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset

Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Xiwen Zhang +1

We demonstrate a first example for employing deep learning in predicting frame errors for a Collaborative Intelligent Radio Network (CIRN) using a dataset collected during particip…

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…