Efficient feature extraction of radio-frequency fingerprint using continuous wavelet transform-Reference-Cited by-同舟云学术

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Efficient feature extraction of radio-frequency fingerprint using continuous wavelet transform

Published:2024-07-18 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Mohammed Mutala,Peng Xinyong,Chai Zhi,Li Mingye,Abayneh Rahel,Yang Xuelin

Funder

National Natural Science Foundation of China

China Aeronautical Science Fund

Guangxi Key Laboratory of Digital Infrastructure

Henan Key Laboratory of Visible Light Communications

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11276-024-03817-y.pdf

Reference55 articles.

1. Artetxe, E., Barambones, O., Calvo, I., Fernández-Bustamante, P., Martin, I., & Uralde, J. (2023). Wireless technologies for industry 4.0 applications. Energies, 16(3), 1–13.

2. Raggam, P. (2021). Wi-Fi 6 accelerates adoption of industry 4.0. NXP Semicond, pp. 5–7.

3. Kumar, M. S., Ramanathan, R., & Jayakumar, M. (2022). Key less physical layer security for wireless networks: A survey. Eng Sci Technol an Int J, 35, 101–116.

4. He, Y. (2022). Cross-technology communication for the internet of things: A survey. ACM Comput Surv, 55, 5.

5. Noaman, M., Khan, M. S., Abrar, M. F., Ali, S., Alvi, A., & Saleem, M. A. (2022). Challenges in integration of heterogeneous internet of things. Sci Program.

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