Enhanced detection methods for compressive spectrum sensing based on antieigenvalues

DOI10.1016/j.jfranklin.2022.08.042zbMath1497.94021OpenAlexW4294630903MaRDI QIDQ2676153

Sara H. Kamel, Said E. El-Khamy

Publication date: 27 September 2022

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.08.042

zbMATH Keywords

eigenvalue-based detection methodsinternet-of-things

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Internet topics (68M11)

Related Items (1)

Sparse Bayesian learning approach for discrete signal reconstruction

Cites Work

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• The internet of things: a survey
• The power method and beyond
• On the Calculation of Antieigenvalues and Antieigenvectors
• Compressed sensing

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