Secret Key Generation Using One-Bit Quantized Channel State Information. - Saygin Baksi; John Snoap; Dimitrie C. Popescu (WCNC, 2017)

On Deep Learning Classification of Digitally Modulated Signals Using Raw I/Q Data. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (CCNC, 2022)

Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data. - James A. Latshaw; Dimitrie C. Popescu; John A. Snoap; Chad M. Spooner (COMM, 2022)

Robust Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulant Features. - John A. Snoap; James A. Latshaw; Dimitrie C. Popescu; Chad M. Spooner (MILCOM, 2022)

Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification. - Chad Michael Spooner; John Snoap; James A. Latshaw; Dimitrie C. Popescu (IEEE DataPort, 2022)

Novel Nonlinear Neural-Network Layers for High Performance and Generalization in Modulation-Recognition Applications. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (MILCOM, 2023)

Physical Layer Secret Key Agreement Using One-Bit Quantization and Low-Density Parity-Check Codes. - John A. Snoap (CoRR, 2023)

Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants. - John A. Snoap; Dimitrie C. Popescu; James A. Latshaw; Chad M. Spooner (Sensors, 2023)

Deep-Learning-Based Classification of Digitally Modulated Signals. - John A. Snoap (2023)

Deep-Learning-Based Classifier With Custom Feature-Extraction Layers for Digitally Modulated Signals. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (IEEE Trans. Broadcast., 2024)