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Michael R. Souryal

1 paper here

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  • last author1

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  • eess.SP1
ORCID 0000-0003-2023-5109

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most citedDeep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing

111 citations · 111 across the 1 of their papers we have counts for

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1 paper · 1 filter

eess.SP2018★ 111 cited

Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing

W. Max Lees, Adam Wunderlich, Peter Jeavons +2

In the United States, the Federal Communications Commission has adopted rules permitting commercial wireless networks to share spectrum with federal incumbents in the 3.5~GHz Citiz…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.