Machine-learning reprogrammable metasurface imager

Conventional microwave imagers usually require either time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing, making them largely ineffective for complex in-situ sensing and monitoring. Here, we experimentally report a real-time digital-metasurface imager...

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Detalles Bibliográficos
Autores principales: Li, Lianlin, Ruan, Hengxin, Liu, Che, Li, Ying, Shuang, Ya, Alù, Andrea, Qiu, Cheng-Wei, Cui, Tie Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403242/
https://www.ncbi.nlm.nih.gov/pubmed/30842417
http://dx.doi.org/10.1038/s41467-019-09103-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403242/
https://www.ncbi.nlm.nih.gov/pubmed/30842417
http://dx.doi.org/10.1038/s41467-019-09103-2

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