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Robust Computationally-Efficient Wireless Emitter Classification Using Autoencoders and Convolutional Neural Networks
This paper proposes a novel Deep Learning (DL)-based approach for classifying the radio-access technology (RAT) of wireless emitters. The approach improves computational efficiency and accuracy under harsh channel conditions with respect to existing approaches. Intelligent spectrum monitoring is a c...
Autores principales: | Almazrouei, Ebtesam, Gianini, Gabriele, Almoosa, Nawaf, Damiani, Ernesto |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037386/ https://www.ncbi.nlm.nih.gov/pubmed/33915685 http://dx.doi.org/10.3390/s21072414 |
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