中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spectrum reconstruction in interference spectrometer based on sparse Fourier transform

文献类型:期刊论文

作者Zhang, Weikang1,2; Wen, Desheng1; Song, Zongxi1
刊名OPTIK
出版日期2018
卷号154页码:157-164
关键词Sparse Fourier Transform Spectrum Reconstruction Modern Spectrum Estimation
ISSN号0030-4026
DOI10.1016/j.ijleo.2017.09.004
产权排序1
英文摘要The algorithm of SFT (sparse Fourier transform) is firstly used for monochromatic light spectrum reconstruction in this paper. Due to the increasing amount of interference data, the operation efficiency of traditional algorithms is not satisfied with the demand of technology. We take advantage of SFT to achieve the goal of lower algorithm complexity and fewer operation time, instead of FFT (Fast Fourier Transform). In addition, two methods of the modern spectrum estimation, AR (Auto-Regressive) model and MUSIC (Multiple Signal Classification), which are considered as high resolution spectrum estimation algorithms, are used for discussion and comparison. The experiment result shows that the SFT gets excellent performance in runtime. (C) 2017 Elsevier GmbH. All rights reserved.

语种英语
WOS记录号WOS:000418731200020
源URL[http://ir.opt.ac.cn/handle/181661/30813]  
专题西安光学精密机械研究所_空间光学应用研究室
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Weikang,Wen, Desheng,Song, Zongxi. Spectrum reconstruction in interference spectrometer based on sparse Fourier transform[J]. OPTIK,2018,154:157-164.
APA Zhang, Weikang,Wen, Desheng,&Song, Zongxi.(2018).Spectrum reconstruction in interference spectrometer based on sparse Fourier transform.OPTIK,154,157-164.
MLA Zhang, Weikang,et al."Spectrum reconstruction in interference spectrometer based on sparse Fourier transform".OPTIK 154(2018):157-164.

入库方式: OAI收割

来源:西安光学精密机械研究所

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