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Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network
In recent years, neural network algorithms have demonstrated tremendous potential for modulation classification. Deep learning methods typically take raw signals or convert signals into time–frequency images as inputs to convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Howev...
| 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/PMC10459892/ https://www.ncbi.nlm.nih.gov/pubmed/37631817 http://dx.doi.org/10.3390/s23167281 |