Support vector machine based machine learning method for GS 8QAM constellation classification in seamless integrated fiber and visible light communication system-Reference-Cited by-同舟云学术

Support vector machine based machine learning method for GS 8QAM constellation classification in seamless integrated fiber and visible light communication system

Published:2020-09-21 Issue:10 Volume:63 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Niu Wenqing,Ha Yinaer,Chi Nan

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s11432-019-2850-3.pdf

Reference23 articles.

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2. Wang Y, Chi N, Wang Y, et al. Network architecture of a high-speed visible light communication local area network. IEEE Photon Technol Lett, 2015, 27: 197–200

3. Chow C W, Yeh C H, Liu Y, et al. Network architecture of bidirectional visible light communication and passive optical network. IEEE Photon J, 2016, 8: 1–7

4. Komine T, Nakagawa M. Integrated system of white LED visible-light communication and power-line communication. IEEE Trans Consumer Electron, 2003, 49: 71–79

5. Langer K D, Grubor J, Bouchet O, et al. Optical wireless communications for broadband access in home area networks. In: Proceedings of 2008 10th Anniversary International Conference on Transparent Optical Networks, 2008. 149–154

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