Institutional Repository of Computer Application Research Laboratory
| Wavelet based recognition for pulsar signals | |
Shan, H.1 ; Wang, X.1; Chen, X.2; Yuan, J.1; Nie, J.1; Zhang, H.1; Liu, N.3; Wang, N.1
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| 2015-06-01 | |
| Source Publication | ASTRONOMY AND COMPUTING
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| Volume | 11Pages:55-63 |
| Contribution Rank | 1 |
| Abstract | 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. |
| Keyword | Pulsar Signals Wavelets Fuzzy C-means Feature Classification Signal Recognition |
| Subtype | Article |
| DOI | 10.1016/j.ascom.2015.03.003 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | FEATURE-EXTRACTION ; FAULT-DIAGNOSIS ; CLASSIFICATION ; TRANSFORM ; ALGORITHM ; ASTRONOMY ; SPECTRA |
| WOS ID | WOS:000356546800005 |
| Project Number | XBBS201222 ; 11173042 ; 2011211B46 |
| Funding Organization | Western Light Ph.D. Financial Aiding Project ; National Natural Science Foundation of China ; Natural Science Foundation of Xinjiang, China |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/867 |
| Collection | 计算机技术应用研究室 射电天文研究室 光学天文与技术应用研究室 科技计划处 其它 |
| Affiliation | 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 |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Wavelet based recogn（3552KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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