William H. Clark

According to our database, William H. Clark authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Real-World Dataset Generator for Specific Emitter Identification.

Braeden P. Muller, Lauren J. Wong, William H. Clark, Alan J. Michaels

IEEE Access, 2023

2022

The Importance of Data in RF Machine Learning.

William H. Clark

PhD thesis, 2022

Rastreo muscular móvil usando magnetomicrometría - traducción al español del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor.

Cameron Roy Taylor, Seong Ho Yeon, William H. Clark, Ellen G. Clarrissimeaux, Mary Kate O'Donnell, Thomas J. Roberts, Hugh M. Herr

CoRR, 2022

Quantifying and Extrapolating Data Needs in Radio Frequency Machine Learning.

William H. Clark IV, Alan J. Michaels

CoRR, 2022

Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion.

Qiang Zhang, William H. Clark, Jason R. Franz, Nitin Sharma

Biomed. Signal Process. Control., 2022

2021

An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness.

Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels

IEEE Open J. Commun. Soc., 2021

Quantifying Dataset Quality in Radio Frequency Machine Learning.

William H. Clark, Alan J. Michaels

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments.

M. R. Williamson, William C. Headley, William H. Clark, Joey McCollum, Thomas Krauss, L. Lusk, D. Jenkins, T. Villemez, Megan O. Moore, Daniel J. Jakubisin, A. Poetter, Alan J. Michaels, A. A. Louis Beex, Joseph D. Gaeddert

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

2020

Training Data Augmentation for Deep Learning RF Systems.

William H. Clark IV, Steven Conrad Hauser, William C. Headley, Alan J. Michaels

CoRR, 2020

When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning.

Megan O. Moore, William H. Clark, R. Michael Buehrer, William C. Headley

Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

2019

Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study.

William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley

Proceedings of the 2019 IEEE Military Communications Conference, 2019

2018

Utilizing Spectral Level Crossings: An Example Signal-to-Noise Ratio Estimator.

William H. Clark, Joseph M. Ernst, Robert W. McGwier

Proceedings of the 39th IEEE Sarnoff Symposium 2018, Newark, NJ, USA, 2018