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Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photo...

Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a499ff70db74c6495fdf73afedebd56

Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

About this item

Full title

Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

Publisher

London: Nature Publishing Group UK

Journal title

Light, science & applications, 2024-02, Vol.13 (1), p.50-50, Article 50

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 programmability bottlenecks of analog electronic circuitry. Here...

Alternative Titles

Full title

Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a499ff70db74c6495fdf73afedebd56

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a499ff70db74c6495fdf73afedebd56

Other Identifiers

ISSN

2047-7538,2095-5545

E-ISSN

2047-7538

DOI

10.1038/s41377-024-01390-9

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