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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8037386/ https://ncbi.nlm.nih.gov/pubmed/33915685 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072414 |
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