Target Signal Extraction Method Based on Enhanced ICA with Reference
Joint Authors
Zheng, Nae
Gao, Liuyang
Tian, Yinghua
Zhang, Jingzhi
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Target signal extraction has a great potential for applications.
To solve the problem of error extraction of target signals in the current constrained independent component analysis (cICA) method, an enhanced independent component analysis with reference (EICA-R) method is proposed.
The new algorithm establishes a unified cost function, which combines the negative entropy contrast function and the distance metric function.
The EICA-R method transforms the constrained optimization problem into unconstrained optimization problem to overcome the problem of threshold setting of distance metric function in constrained optimization problem.
The theoretical analysis and simulation experiment show that the proposed EICA-R algorithm overcomes the problem of the error extraction of the existing algorithm and improves the reliability of the target signal extraction.
American Psychological Association (APA)
Gao, Liuyang& Zheng, Nae& Tian, Yinghua& Zhang, Jingzhi. 2019. Target Signal Extraction Method Based on Enhanced ICA with Reference. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1195447
Modern Language Association (MLA)
Gao, Liuyang…[et al.]. Target Signal Extraction Method Based on Enhanced ICA with Reference. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1195447
American Medical Association (AMA)
Gao, Liuyang& Zheng, Nae& Tian, Yinghua& Zhang, Jingzhi. Target Signal Extraction Method Based on Enhanced ICA with Reference. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1195447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195447