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Spectrum reconstruction in interference spectrometer based on sparse Fourier transform
Zhang, Weikang1,2; Wen, Desheng1; Song, Zongxi1
作者部门空间光学应用研究室
2018
发表期刊OPTIK
ISSN0030-4026
卷号154页码:157-164
产权排序1
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.

关键词Sparse Fourier Transform Spectrum Reconstruction Modern Spectrum Estimation
DOI10.1016/j.ijleo.2017.09.004
收录类别SCI ; EI
语种英语
WOS记录号WOS:000418731200020
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30813
专题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
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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.
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