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ORCIDWilliam H. Clark
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2020 – today
- 2024
[c6]William H. Clark, Thomas Coulon, Elliott Rheault, Alan J. Michaels:
Practical Waveform Generation and Labeling for Radio Frequency Applications. MILCOM 2024: 659-660- 2023
- [j3]Braeden P. Muller
, Lauren J. Wong, William H. Clark, Alan J. Michaels:
A Real-World Dataset Generator for Specific Emitter Identification. IEEE Access 11: 110023-110038 (2023) - 2022
- [b1]William H. Clark:
The Importance of Data in RF Machine Learning. Virginia Tech, Blacksburg, VA, USA, 2022 - [j2]Qiang Zhang, William H. Clark, Jason R. Franz, Nitin Sharma:
Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion. Biomed. Signal Process. Control. 71(Part): 103100 (2022) - [i3]William H. Clark IV, Alan J. Michaels:
Quantifying and Extrapolating Data Needs in Radio Frequency Machine Learning. CoRR abs/2205.03703 (2022) - [i2]Cameron Roy Taylor, Seong Ho Yeon, William H. Clark, Ellen G. Clarrissimeaux, Mary Kate O'Donnell, Thomas J. Roberts, Hugh M. Herr:
Rastreo muscular móvil usando magnetomicrometría - traducción al español del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor. CoRR abs/2211.10441 (2022) - 2021
- [j1]Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels:
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. IEEE Open J. Commun. Soc. 2: 2243-2264 (2021) - [c5]M. R. Williamson, William C. Headley, William H. Clark, Joey McCollum, Thomas Krauss, Lauren O. Lusk, D. Jenkins, T. Villemez, Megan O. Moore, Daniel J. Jakubisin, A. Poetter, Alan J. Michaels, A. A. Louis Beex, Joseph D. Gaeddert:
Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments. DySPAN 2021: 288-295 - [c4]William H. Clark, Alan J. Michaels:
Quantifying Dataset Quality in Radio Frequency Machine Learning. MILCOM 2021: 384-389 - 2020
- [c3]Megan O. Moore, William H. Clark, R. Michael Buehrer, William C. Headley:
When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning. IPCCC 2020: 1-7 - [i1]William H. Clark IV, Steven Conrad Hauser, William C. Headley, Alan J. Michaels:
Training Data Augmentation for Deep Learning RF Systems. CoRR abs/2010.00178 (2020)
2010 – 2019
- 2019
- [c2]William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley:
Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. MILCOM 2019: 292-298 - 2018
- [c1]William H. Clark, Joseph M. Ernst, Robert W. McGwier:
Utilizing Spectral Level Crossings: An Example Signal-to-Noise Ratio Estimator. Sarnoff Symposium 2018: 1-6
Coauthor Index
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