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...

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Detalles Bibliográficos
Autores principales: Yu, Haiyang, Chen, Chunyi, Hu, Xiaojuan, Yang, Huamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649547/
https://www.ncbi.nlm.nih.gov/pubmed/37960437
http://dx.doi.org/10.3390/s23218737

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