High Power Laser and Particle Beams, Volume. 37, Issue 1, 013002(2025)

A nano-second pulse waveform reconstruction method based on neural network

Donghui Lü1,2, Jie Cheng1,2、*, Rui Li1,2, Nan Zhang1,2, and Ligang Zhang1,2
Author Affiliations
  • 1Northwest Institute of Nuclear Technology, Xi’an 710024, China
  • 2Key Laboratory of Advanced Science and Technology on High Power Microwave, Xi’an 710024, China
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    References(13)

    [3] Xia Wenfeng, Zhang Dongxiao, Liu Qichen. A novel lightweight and miniaturized high power pulse drive source[J]. Modern Applied Physics, 14, 030506(2023).

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    [7] Han Yingjie, Sun Guangsheng, Yan Ping. Waveform reconstruction of nanosecond pulse voltage[J]. High Power Laser and Particle Beams, 16, 514-516(2004).

    [8] Cao Jingyang, Xie Shuguo, Su Donglin. Application of minimum phase method in a pulse measurement[J]. Chinese Journal of Radio Science, 26, 1102-1106(2011).

    [11] Chen Xiang, Wei Ming, Wang Xiangdong. Dynamic tester of electrostatic potential waveform reconstruction based on RBF neural network[J]. Computer Measurement & Control, 18, 1202-1205(2010).

    [12] [12] Hou Yuanbin, Du Jingyi, Wang Mei. Neural wk[M]. Xi’an: Xidian University Press, 2007

    [13] [13] Shi Zhongzhi. Neural wks[M]. Beijing: Higher Education Press, 2009

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    Donghui Lü, Jie Cheng, Rui Li, Nan Zhang, Ligang Zhang. A nano-second pulse waveform reconstruction method based on neural network[J]. High Power Laser and Particle Beams, 2025, 37(1): 013002

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    Paper Information

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    Received: Sep. 24, 2024

    Accepted: Nov. 27, 2024

    Published Online: Feb. 21, 2025

    The Author Email: Jie Cheng (chengjie@nint.ac.cn)

    DOI:10.11884/HPLPB202537.240342

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