Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants

This paper presents a novel deep-learning (DL)-based approach for classifying digitally modulated signals, which involves the use of capsule networks (CAPs) together with the cyclic cumulant (CC) features of the signals. These were blindly estimated using cyclostationary signal processing (CSP) and...

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Detalles Bibliográficos
Autores principales: Snoap, John A., Popescu, Dimitrie C., Latshaw, James A., Spooner , Chad M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302682/
https://www.ncbi.nlm.nih.gov/pubmed/37420905
http://dx.doi.org/10.3390/s23125735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302682/
https://www.ncbi.nlm.nih.gov/pubmed/37420905
http://dx.doi.org/10.3390/s23125735

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