中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine

文献类型:期刊论文

作者Xu, Zhiqiang1,2,5; Wang, Peng3; Zhao, Mengmeng1,2,5; Yang, Mi3; Zhao, Wang1,4; Hu, Ke1,4; Dong, Lizhi1,4; Wang, Shuai1,4; Li, Xiao3; Yang, Ping1,4
刊名IEEE Photonics Technology Letters
出版日期2020-06-15
卷号32期号:12页码:693-696
关键词Extreme learning machine second harmonic generation wave-front sensor
ISSN号1041-1135
DOI10.1109/LPT.2020.2993141
文献子类期刊论文
英文摘要In the applications of wave-front detection using second-harmonic generation, the spatial phase distribution needs to calculate accurately before and after frequency doubling in real-time. This letter presents a learning-based method called extreme learning machine to fit the corresponding relationship of phase between the fundamental frequency wave and the second-harmonic. The Zernike coefficients of the fundamental frequency wave wave-front and the second-harmonic wave-front are used as input data for Extreme Learning Machine model training and testing. The effects of the intensity-dependent phase shift and walk-off are also considered. The reliability of the trained Extreme Learning Machine model was accessed based on simulation results. The proposed method has shown distinct competitive advantages in real-time calculation efficiency. The well-trained Extreme Learning Machine model only needs 0.026 seconds to accurately predict the phase distribution of the fundamental frequency wave. The runtime is three orders of magnitude smaller than the traditional numerical calculation method. © 1989-2012 IEEE.
出版地PISCATAWAY
WOS关键词FREQUENCY ; BEAMS ; DEPLETION
WOS研究方向Engineering ; Optics ; Physics
语种英语
WOS记录号WOS:000536335900002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.ioe.ac.cn/handle/181551/10067]  
专题光电技术研究所_自适应光学技术研究室(八室)
作者单位1.Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China;
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
3.College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha; 410073, China;
4.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China
5.College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式
GB/T 7714
Xu, Zhiqiang,Wang, Peng,Zhao, Mengmeng,et al. Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine[J]. IEEE Photonics Technology Letters,2020,32(12):693-696.
APA Xu, Zhiqiang.,Wang, Peng.,Zhao, Mengmeng.,Yang, Mi.,Zhao, Wang.,...&Xu, Bing.(2020).Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine.IEEE Photonics Technology Letters,32(12),693-696.
MLA Xu, Zhiqiang,et al."Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine".IEEE Photonics Technology Letters 32.12(2020):693-696.

入库方式: OAI收割

来源:光电技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。