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Efficiency and Threshold Characteristics of Spectrally Beam Combined High-Power Diode Lasers 期刊论文
Ieee Journal of Quantum Electronics, 2019, 卷号: 55, 期号: 1, 页码: 7
作者:  F.Y.Sun;  S.L.Shu;  G.Y.Hou;  L.J.Wang;  J.Zhang
收藏  |  浏览/下载：2/0  |  提交时间：2020/08/24
紧凑型矩形波导内功率合成器设计 期刊论文
2016, 2016
熊正锋; 宁辉; 陈怀璧; 唐传祥; Xiong Zhengfeng; Ning Hui; Chen Huaibi; Tang Chuanxiang
收藏  |  浏览/下载：6/0
Design of all-solid-state modularized Marx circuit and synchronous combining of pulses 期刊论文
Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams, 2015, 卷号: 27, 期号: [db:dc_citation_issue]
作者:  Li, Jiangtao;  Zhong, Xu;  Xue, Jing;  Li, Zheng;  Li, Tao
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
Energy efficient generalised selection combining scheme considering circuit power dissipation 期刊论文
IET COMMUNICATIONS, 2014, 卷号: 8, 期号: [db:dc_citation_issue], 页码: 2652-2658
作者:  Chen, Li;  Zhang, Chao;  Wei, Guo
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/03
Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands SCI/SSCI论文
2014
作者:  Zhang L.;  Zhang Y.;  Zhang Y.;  Zhang L.
收藏  |  浏览/下载：14/0  |  提交时间：2014/12/24
The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
Sun M.; Bao Z.; Liu J.; Wang Y.; Quan Y.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
In order to solve the registration problem of different source image existed on aerial image fusion  algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper  and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed  high accuracy and high reliability. Basically  with little restriction of gray level properties  a new alignment measure is applied  which can efficiently measure the image registration extent and tolerate noise well. Even more  the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that  the study attains the registration accuracy of pixel level  and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM  solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time  the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms  and the registration result has higher accuracy and stability  which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect  and is easy for application and very suitable for engineering use. 2010 IEEE.  
光纤激光器谱合成技术及相关问题研究 学位论文
: 四川大学, 2008
作者:  祝颂军
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/19
光束谱合成技术及相关问题研究 学位论文
: 四川大学, 2007
作者:  张艳
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/19

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