Wavelet based recognition for pulsar signals
文献类型:期刊论文
作者 | Shan, H.1![]() ![]() ![]() ![]() ![]() ![]() |
刊名 | ASTRONOMY AND COMPUTING
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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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