中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Wavelet based recognition for pulsar signals

文献类型:期刊论文

作者Shan, H.1; Wang, X.1; Chen, X.2; Yuan, J.1; Nie, J.1; Zhang, H.1; Liu, N.3; Wang, N.1
刊名ASTRONOMY AND COMPUTING
出版日期2015-06-01
卷号11期号:-页码:55-63
关键词Pulsar signals Wavelets Fuzzy C-means Feature classification Signal recognition
英文摘要A signal from a pulsar can be decomposed into a set of features. This set is a unique signature for a given pulsar. It can be used to decide whether a pulsar is newly discovered or not. Features can be constructed from coefficients of a wavelet decomposition. Two types of wavelet based pulsar features are proposed. The energy based features reflect the multiscale distribution of the energy of coefficients. The singularity based features first classify the signals into a class with one peak and a class with two peaks by exploring the number of the straight wavelet modulus maxima lines perpendicular to the abscissa, and then implement further classification according to the features of skewness and kurtosis. Experimental results show that the wavelet based features can gain comparatively better performance over the shape parameter based features not only in the clustering and classification, but also in the error rates of the recognition tasks. (C) 2015 Elsevier B.V. All rights reserved.
关键词[WOS]FEATURE-EXTRACTION ; FAULT-DIAGNOSIS ; CLASSIFICATION ; TRANSFORM ; ALGORITHM ; ASTRONOMY ; SPECTRA
收录类别SCI
语种英语
WOS记录号WOS:000356546800005
源URL[http://ir.xao.ac.cn/handle/45760611-7/867]  
专题新疆天文台_计算机技术室
新疆天文台_光学天文与技术应用研究室
新疆天文台_射电天文研究室
新疆天文台_其它
科技计划处
作者单位1.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Xinjiang, Peoples R China
2.Shandong Univ, Sch Mech Engn, Jinan 250100, Shandong, Peoples R China
3.Nanchong Profess Tech Coll, Nanchong 637000, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Shan, H.,Wang, X.,Chen, X.,et al. Wavelet based recognition for pulsar signals[J]. ASTRONOMY AND COMPUTING,2015,11(-):55-63.
APA Shan, H..,Wang, X..,Chen, X..,Yuan, J..,Nie, J..,...&Wang, N..(2015).Wavelet based recognition for pulsar signals.ASTRONOMY AND COMPUTING,11(-),55-63.
MLA Shan, H.,et al."Wavelet based recognition for pulsar signals".ASTRONOMY AND COMPUTING 11.-(2015):55-63.

入库方式: OAI收割

来源:新疆天文台

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