Zobrazeno 1 - 10 of 63 pro vyhledávání: '"Mengfan Fu"'
1
Akademický článek
Research Progress on the Mechanism of Plant Polyphenols of Alleviating Exercise Fatigue
Autor: Jincheng YU, Mengfan FU, Nan CUI, Suwen LIU, Junyi ZHOU, Dong ZHANG, Donglin SHI
Publikováno v: Shipin gongye ke-ji, Vol 43, Iss 3, Pp 472-478 (2022)
Fatigue is a phenomenon caused by the disorder of energy coordination in the body, and prolonged exercise fatigue will lead to related diseases. Polyphenols have obvious biological activities, such as anti-oxidation, anti-tumor and so on. At present,
Externí odkaz: https://doaj.org/article/4cd6a94cfa3d4f0193406d92021228c5
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7
Constellation Independent Look-up Table Enabled Digital Predistortion for Digital-Analog Radio-over-Fiber System
Autor: Xiaobo Zeng, Yixiao Zhu, Yicheng Xu, Mengfan Fu, Hexun Jiang, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Publikováno v: 2023 Optical Fiber Communications Conference and Exhibition (OFC).
A constellation independent look-up table (LUT) method for transceiver nonlinearity predistortion in digital-analog radio-over-fiber system is proposed and experimentally demonstrated, achieving a SNR gain of 1.04dB. The table size can be reduced to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eb44d9cfb4de271ff9e401051c1a604
https://doi.org/10.23919/ofc49934.2023.10117187
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8
Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture
Autor: Hexun Jiang, Mengfan Fu, Yixiao Zhu, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Publikováno v: Optical Fiber Communication Conference (OFC) 2023.
We propose to identify the coefficients of a digital pre-distortion equalizer based on direct learning architecture (DLA) using the Gauss-Newton method. Experimental results show that DLA outperforms indirect learning architecture by 0.5dB.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b150bfea1805d8363d79ee4c8dd0f2ac
https://doi.org/10.1364/ofc.2023.th1f.6
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9
Akademický článek
AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks
Autor: Xiaomin Liu, Huazhi Lun, Mengfan Fu, Yunyun Fan, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Publikováno v: Applied Sciences, Vol 10, Iss 1, p 363 (2020)
With the development of 5G technology, high definition video and internet of things, the capacity demand for optical networks has been increasing dramatically. To fulfill the capacity demand, low-margin optical network is attracting attentions. There
Externí odkaz: https://doaj.org/article/219216552b624554a6c23050a9500319
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10
Parallel Bisection-based Distribution Matching for Nonlinearity-tolerant Probabilistic Shaping in Coherent Optical Communication Systems
Autor: Mengfan Fu, Lilin Yi, Qunbi Zhuge, Hexun Jiang, Zhiyuan Yang, Qiaoya Liu, Yiwen Wu, Huazhi Lun, Weisheng Hu, Xiaomin Liu
Publikováno v: Journal of Lightwave Technology. 39:6459-6469
A nonlinearity-tolerant constant composition distribution matching (CCDM) scheme based on a parallel bisection architecture is proposed. Compared with CCDM based on arithmetic coding (AC), the bisection-based CCDM (BS-CCDM) can achieve the same linea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75a80eaf2644f95e7b1140157cf8b824
https://doi.org/10.1109/jlt.2021.3102269
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