中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new feature vector using selected line spectra for pulsar signal bispectrum characteristic analysis and recognition

文献类型:期刊论文

作者Xie, Zhen-Hua ; Xu, Lu-Ping ; Ni, Guang-Ren ; Wang, Yan
刊名CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
出版日期2007
卷号7期号:4页码:565-571
关键词pulsars : general stars : magnetic fields stars : fundamental
ISSN号1009-9271
英文摘要Average pulse profiles of pulsar signals are analyzed using the bispectrum technique. The result shows that there are nonlinear phase couplings between the two frequency axes of the bispectrum charts, which indicate nonlinear factors in the generation and propagation of pulsar signals. Bispectra can be used as feature vectors of pulsar signals because of their being translation invariant. A one-dimension selected line spectrum algorithm for extracting pulsar signal characteristic is proposed. Compared with selected bispectra, the proposed selected line spectra have the maximum interclass separability measurements from the point of view of the whole one-dimension feature vector. Recognition experiments on several pulsar signals received at several frequency bands are carried out. The result shows that the selected line spectrum algorithm is suitable for extracting pulsar signal characteristics and has a good classification performance.
收录类别SCI
语种英语
公开日期2012-09-05
源URL[http://210.72.145.45/handle/361003/4746]  
专题国家授时中心_守时理论与方法研究室
推荐引用方式
GB/T 7714
Xie, Zhen-Hua,Xu, Lu-Ping,Ni, Guang-Ren,et al. A new feature vector using selected line spectra for pulsar signal bispectrum characteristic analysis and recognition[J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,2007,7(4):565-571.
APA Xie, Zhen-Hua,Xu, Lu-Ping,Ni, Guang-Ren,&Wang, Yan.(2007).A new feature vector using selected line spectra for pulsar signal bispectrum characteristic analysis and recognition.CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,7(4),565-571.
MLA Xie, Zhen-Hua,et al."A new feature vector using selected line spectra for pulsar signal bispectrum characteristic analysis and recognition".CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS 7.4(2007):565-571.

入库方式: OAI收割

来源:国家授时中心

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