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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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Dettagli Bibliografici
Pubblicato in:Adv Sci (Weinh)
Autori principali: del Hougne, Philipp, Imani, Mohammadreza F., Diebold, Aaron V., Horstmeyer, Roarke, Smith, David R.
Natura: Artigo
Lingua:Inglês
Pubblicazione: John Wiley and Sons Inc. 2019
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7001623/
https://ncbi.nlm.nih.gov/pubmed/32042558
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.201901913
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