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An Efficient Recognition Method for Orbital Angular Momentum via Adaptive Deep ELM
For orbital angular momentum (OAM) recognition in atmosphere turbulence, how to design a self-adapted model is a challenging problem. To address this issue, an efficient deep learning framework that uses a derived extreme learning machine (ELM) has been put forward. Different from typical neural net...
| 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/PMC10649547/ https://www.ncbi.nlm.nih.gov/pubmed/37960437 http://dx.doi.org/10.3390/s23218737 |