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IDAF: Iterative Dual-Scale Attentional Fusion Network for Automatic Modulation Recognition
Recently, deep learning models have been widely applied to modulation recognition, and they have become a hot topic due to their excellent end-to-end learning capabilities. However, current methods are mostly based on uni-modal inputs, which suffer from incomplete information and local optimization....
| Autores principales: | , , , , , |
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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/PMC10575420/ https://www.ncbi.nlm.nih.gov/pubmed/37836964 http://dx.doi.org/10.3390/s23198134 |