中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spectral Feature Extraction Based on the DCPCA Method

文献类型:期刊论文

作者Bu Yude1; Pan Jingchang2; Jiang Bin2; Chen Fuqiang3; Wei Peng4
刊名PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA
出版日期2013-02-19
卷号30
关键词astronomical instrumentation, methods and techniques methods: analytical methods: data analysis methods: statistical
英文摘要In this paper, a new sparse principal component analysis (SPCA) method, called DCPCA (sparse PCA using a difference convex program), is introduced as a spectral feature extraction technique in astronomical data processing. Using this method, we successfully derive the feature lines from the spectra of cataclysmic variables. We then apply this algorithm to get the first 11 sparse principal components and use the support vector machine (SVM) to classify. The results show that the proposed method is comparable with traditional methods such as PCA+SVM.
收录类别SCI
语种英语
WOS记录号WOS:000320701600001
源URL[http://ir.bao.ac.cn/handle/114a11/5939]  
专题国家天文台_星系宇宙学研究部
作者单位1.Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China
2.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Shandong, Peoples R China
3.Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China
4.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Bu Yude,Pan Jingchang,Jiang Bin,et al. Spectral Feature Extraction Based on the DCPCA Method[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA,2013,30.
APA Bu Yude,Pan Jingchang,Jiang Bin,Chen Fuqiang,&Wei Peng.(2013).Spectral Feature Extraction Based on the DCPCA Method.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA,30.
MLA Bu Yude,et al."Spectral Feature Extraction Based on the DCPCA Method".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA 30(2013).

入库方式: OAI收割

来源:国家天文台

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