Cargando…
Deep learning enhanced Rydberg multifrequency microwave recognition
Recognition of multifrequency microwave (MW) electric fields is challenging because of the complex interference of multifrequency fields in practical applications. Rydberg atom-based measurements for multifrequency MW electric fields is promising in MW radar and MW communications. However, Rydberg a...
Autores principales: | Liu, Zong-Kai, Zhang, Li-Hua, Liu, Bang, Zhang, Zheng-Yuan, Guo, Guang-Can, Ding, Dong-Sheng, Shi, Bao-Sen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010414/ https://www.ncbi.nlm.nih.gov/pubmed/35422054 http://dx.doi.org/10.1038/s41467-022-29686-7 |
Ejemplares similares
-
Microwave Electrometry with Multi-Photon Coherence in Rydberg Atoms
por: Yin, Zheng, et al.
Publicado: (2023) -
Multifrequency Microwave Radiometry for Characterizing the Internal Temperature of Biological Tissues
por: Villa, Enrique, et al.
Publicado: (2022) -
Multifrequency Induced-Charge Electroosmosis
por: Du, Kai, et al.
Publicado: (2019) -
An Emergent Discriminative Learning Is Elicited During Multifrequency Testing
por: Zhang, Xingui, et al.
Publicado: (2019) -
Rydberg physics
por: Sibalic, Nikola, et al.
Publicado: (2018)