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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...
Autores principales: | Snoap, John A., Popescu, Dimitrie C., Latshaw, James A., Spooner , Chad M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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