Learned Integrated Sensing Pipeline: Reconfigurable Metasurface Transceivers as Trainable Physical Layer in an Artificial Neural Network-Reference-Cited by-同舟云学术

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

Published:2019-12-06 Issue:3 Volume:7 Page:1901913
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Hougne Philipp¹^ORCID,Imani Mohammadreza F.²,Diebold Aaron V.²,Horstmeyer Roarke³,Smith David R.²

Affiliation:

1. Institut de Physique de Nice CNRS UMR 7010 Université Côte d'Azur Nice 06108 France

2. Center for Metamaterials and Integrated Plasmonics Department of Electrical and Computer Engineering Duke University Durham NC 27708 USA

3. Biomedical Engineering Department Duke University Durham NC 27708 USA

Funder

Air Force Office of Scientific Research

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.201901913

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3. A Survey on Ambient-Assisted Living Tools for Older Adults

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5. Optical focusing deep inside dynamic scattering media with near-infrared time-reversed ultrasonically encoded (TRUE) light

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