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....

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Detalles Bibliográficos
Autores principales: Liu, Bohan, Ge, Ruixing, Zhu, Yuxuan, Zhang, Bolin, Zhang, Xiaokai, Bao, Yanfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575420/
https://www.ncbi.nlm.nih.gov/pubmed/37836964
http://dx.doi.org/10.3390/s23198134

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