中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Data point selection for weighted least square fitting of cavity decay time constant

文献类型:期刊论文

作者He, Xing1,2,3; Yan, Hu1,2,3; Dong, Li-Zhi1,2; Yang, Ping1,2; Xu, Bing1,2
刊名CHINESE PHYSICS B
出版日期2016
卷号25期号:1
关键词cavity ring-down decay time extraction weighted least square method data point selection
ISSN号1674-1056
英文摘要For the accurate extraction of cavity decay time, a selection of data points is supplemented to the weighted least square method. We derive the expected precision, accuracy and computation cost of this improved method, and examine these performances by simulation. By comparing this method with the nonlinear least square fitting (NLSF) method and the linear regression of the sum (LRS) method in derivations and simulations, we find that this method can achieve the same or even better precision, comparable accuracy, and lower computation cost. We test this method by experimental decay signals. The results are in agreement with the ones obtained from the nonlinear least square fitting method.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Physics, Multidisciplinary
研究领域[WOS]Physics
关键词[WOS]RING-DOWN SPECTROSCOPY ; SPECTROMETER ; EXTRACTION
收录类别SCI
语种英语
WOS记录号WOS:000368455100042
源URL[http://ir.ioe.ac.cn/handle/181551/3834]  
专题光电技术研究所_光电技术研究所被WoS收录文章
作者单位1.Chinese Acad Sci, Inst Opt & Elect, Lab Adapt Opt, Chengdu 610209, Peoples R China
2.Chinese Acad Sci, Key Lab Adapt Opt, Chengdu 610209, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
He, Xing,Yan, Hu,Dong, Li-Zhi,et al. Data point selection for weighted least square fitting of cavity decay time constant[J]. CHINESE PHYSICS B,2016,25(1).
APA He, Xing,Yan, Hu,Dong, Li-Zhi,Yang, Ping,&Xu, Bing.(2016).Data point selection for weighted least square fitting of cavity decay time constant.CHINESE PHYSICS B,25(1).
MLA He, Xing,et al."Data point selection for weighted least square fitting of cavity decay time constant".CHINESE PHYSICS B 25.1(2016).

入库方式: OAI收割

来源:光电技术研究所

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