Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Metasurface‐Programmable Wireless Network‐On‐Chip
por: F. Imani, Mohammadreza, et al.
Publicado: (2022) -
Metasurface‐Programmable Wireless Network‐On‐Chip (Adv. Sci. 26/2022)
por: Imani, Mohammadreza F., et al.
Publicado: (2022) -
Reconfigurable transceiver architecture for multiband RF-frontends
por: Gonzalez Rodriguez, Erick
Publicado: (2016) -
Dynamic Metasurface Aperture as Smart Around-the-Corner Motion Detector
por: del Hougne, Philipp, et al.
Publicado: (2018) -
Mechanochromic Reconfigurable Metasurfaces
por: Karvounis, Artemios, et al.
Publicado: (2019)