Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

Yong Zhao; Yingmin Jia; Qiang Chen

doi:10.1007/978-981-15-8450-3_45

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

Yong Zhao
, Yingmin Jia^*
, Qiang Chen

^*此作品的通讯作者

自动化科学与电气工程学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

源语言	英语
主期刊名	Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I
编辑	Yingmin Jia, Weicun Zhang, Yongling Fu
出版商	Springer Science and Business Media Deutschland GmbH
页	419-427
页数	9
ISBN（印刷版）	9789811584497
DOI	https://doi.org/10.1007/978-981-15-8450-3_45
出版状态	已出版 - 2021
活动	Chinese Intelligent Systems Conference, CISC 2020 - Shenzhen, 中国期限: 24 10月 2020 → 25 10月 2020

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	705 LNEE
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	Chinese Intelligent Systems Conference, CISC 2020
国家/地区	中国
市	Shenzhen
时期	24/10/20 → 25/10/20

访问文件

10.1007/978-981-15-8450-3_45

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引用此

Zhao, Y., Jia, Y., & Chen, Q. (2021). Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. 在 Y. Jia, W. Zhang, & Y. Fu (编辑), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I (页码 419-427). (Lecture Notes in Electrical Engineering; 卷 705 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8450-3_45

@inproceedings{cc3cf119bcc54c0cb982bec66fdb12b4,

title = "Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition",

abstract = "X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.",

keywords = "Denoising, Variational mode decomposition, X-ray pulsar",

author = "Yong Zhao and Yingmin Jia and Qiang Chen",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2020 ; Conference date: 24-10-2020 Through 25-10-2020",

year = "2021",

doi = "10.1007/978-981-15-8450-3\_45",

language = "英语",

isbn = "9789811584497",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "419--427",

editor = "Yingmin Jia and Weicun Zhang and Yongling Fu",

booktitle = "Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I",

address = "德国",

}

Zhao, Y, Jia, Y & Chen, Q 2021, Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. 在 Y Jia, W Zhang & Y Fu (编辑), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I. Lecture Notes in Electrical Engineering, 卷 705 LNEE, Springer Science and Business Media Deutschland GmbH, 页码 419-427, Chinese Intelligent Systems Conference, CISC 2020, Shenzhen, 中国, 24/10/20. https://doi.org/10.1007/978-981-15-8450-3_45

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. / Zhao, Yong; Jia, Yingmin; Chen, Qiang.
Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I. 编辑 / Yingmin Jia; Weicun Zhang; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. 页码 419-427 (Lecture Notes in Electrical Engineering; 卷 705 LNEE).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

AU - Zhao, Yong

AU - Jia, Yingmin

AU - Chen, Qiang

PY - 2021

Y1 - 2021

N2 - X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

AB - X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

KW - Denoising

KW - Variational mode decomposition

KW - X-ray pulsar

UR - https://www.scopus.com/pages/publications/85092176435

U2 - 10.1007/978-981-15-8450-3_45

DO - 10.1007/978-981-15-8450-3_45

M3 - 会议稿件

AN - SCOPUS:85092176435

SN - 9789811584497

T3 - Lecture Notes in Electrical Engineering

SP - 419

EP - 427

BT - Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I

A2 - Jia, Yingmin

A2 - Zhang, Weicun

A2 - Fu, Yongling

PB - Springer Science and Business Media Deutschland GmbH

T2 - Chinese Intelligent Systems Conference, CISC 2020

Y2 - 24 October 2020 through 25 October 2020

ER -

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

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