Enhancement of Non-Destructive Measurement Resolution with Neural Networks

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2024_aps_ursi_Resolution.pdf (2.93 MB)

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https://userpages.cs.umbc.edu/simsek/cps/2024_aps_ursi_Resolution.pdf

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http://hdl.handle.net/11603/35973

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UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Faculty Collection
UMBC Student Collection

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https://orcid.org/0000-0001-9075-7071

Date

2024

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journal articles
postprints
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Abstract

Similar to image sharpening, the resolution of measured electromagnetic fields can be enhanced with machine learning. We numerically demonstrate that a λ/10 spatial resolution is achievable even with probes that are a few wavelengths wide, while maintaining a maximum relative error of less than 3%.