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Charles Ethan Hayes
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Publications (6)
Proceedings Article | 10 May 2019 Paper
Classification using low-rank features from an electromagnetic induction sensor
Proceedings Volume 11012, 110120R (2019) https://doi.org/10.1117/12.2519362
KEYWORDS: Sensors, Data modeling, Magnetism, Soil science, Electromagnetism, Target detection
Proceedings Article | 30 April 2018 Presentation + Paper
Exploiting measurement subspaces for wideband electromagnetic induction processing
Proceedings Volume 10628, 106280M (2018) https://doi.org/10.1117/12.2305169
KEYWORDS: Data modeling, Signal to noise ratio, Sensors, Soil science, Receivers, Matrices, Spatial frequencies, Electromagnetism
Proceedings Article | 3 May 2017 Presentation + Paper
Target location estimation for single channel electromagnetic induction data
Andrew Kerr, Waymond Scott, Charles Ethan Hayes, James McClellan
Proceedings Volume 10182, 1018212 (2017) https://doi.org/10.1117/12.2262892
KEYWORDS: Electromagnetism, Electromagnetic coupling, Data modeling, Associative arrays, Land mines, Head, Sensors, Image filtering, Analytical research, Error analysis, Magnetism, Magnetic sensors
Proceedings Article | 3 May 2017 Presentation + Paper
Novel model based EMI processing framework
Proceedings Volume 10182, 1018218 (2017) https://doi.org/10.1117/12.2262884
KEYWORDS: Sensors, Data modeling, Electromagnetic coupling, Electromagnetism, Mathematical modeling, Land mines, Target detection, Magnetic sensors, Magnetism, Signal to noise ratio, Remote sensing, Interference (communication), Matrices, Signal processing, Signal detection
Proceedings Article | 3 May 2016 Paper
Improved electromagnetic induction processing with novel adaptive matched filter and matched subspace detection
Charles Hayes, James McClellan, Waymond Scott, Andrew Kerr
Proceedings Volume 9823, 98230E (2016) https://doi.org/10.1117/12.2224681
KEYWORDS: Electromagnetic coupling, Digital filtering, Electromagnetism, Sensors, Interference (communication), Signal to noise ratio, Signal detection, Target detection, Soil science, Data modeling
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