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John Snoap

John A. Snoap

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2020 – today

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2023
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John A. Snoap, Dimitrie C. Popescu, James A. Latshaw, Chad M. Spooner:
Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants. Sensors 23(12): 5735 (2023)
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John A. Snoap, Dimitrie C. Popescu, Chad M. Spooner:
Novel Nonlinear Neural-Network Layers for High Performance and Generalization in Modulation-Recognition Applications. MILCOM 2023: 562-567
[i1]
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John A. Snoap:
Physical Layer Secret Key Agreement Using One-Bit Quantization and Low-Density Parity-Check Codes. CoRR abs/2307.02391 (2023)
2022
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John A. Snoap, Dimitrie C. Popescu, Chad M. Spooner:
On Deep Learning Classification of Digitally Modulated Signals Using Raw I/Q Data. CCNC 2022: 441-444
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James A. Latshaw, Dimitrie C. Popescu, John A. Snoap, Chad M. Spooner:
Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data. COMM 2022: 1-6
[c2]
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John A. Snoap, James A. Latshaw, Dimitrie C. Popescu, Chad M. Spooner:
Robust Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulant Features. MILCOM 2022: 298-303
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Chad Michael Spooner, John Snoap, James A. Latshaw, Dimitrie C. Popescu:
Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification. IEEE DataPort, 2022

2010 – 2019

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2017
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Saygin Baksi, John Snoap, Dimitrie C. Popescu:
Secret Key Generation Using One-Bit Quantized Channel State Information. WCNC 2017: 1-6

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