Learned Integrated Sensing Pipeline: Reconfigurable Metasurface Transceivers as Trainable Physical Layer in an Artificial Neural Network

The rapid proliferation of intelligent systems (e.g., fully autonomous vehicles) in today's society relies on sensors with low latency and computational effort. Yet current sensing systems ignore most available a priori knowledge, notably in the design of the hardware level, such that they fail...

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Detalles Bibliográficos
Autores principales: del Hougne, Philipp, Imani, Mohammadreza F., Diebold, Aaron V., Horstmeyer, Roarke, Smith, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001623/
https://www.ncbi.nlm.nih.gov/pubmed/32042558
http://dx.doi.org/10.1002/advs.201901913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001623/
https://www.ncbi.nlm.nih.gov/pubmed/32042558
http://dx.doi.org/10.1002/advs.201901913

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