Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics
Abstract Analog feature extraction (AFE) is an appealing strategy for low-latency and efficient cognitive sensing systems since key features are much sparser than the Nyquist-sampled data. However, applying AFE to broadband radio-frequency (RF) scenarios is challenging due to the bandwidth and progr...
Main Authors: | Shaofu Xu, Binshuo Liu, Sicheng Yi, Jing Wang, Weiwen Zou |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2024-02-01
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Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-024-01390-9 |
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