Independent Component Analysis of Complex Valued Signals Based on First-order Statistics
This paper proposes a novel method based on first-order statistics, aims to solve the problem of the independent component extraction of complex valued signals in instantaneous linear mixtures. Single-step and iterative algorithms are proposed and discussed under the engineering practice. Theoretica...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Spolecnost pro radioelektronicke inzenyrstvi
2013-12-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdf |
| _version_ | 1828423070905270272 |
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| author | P.C. Xu Y.H. Shen H. Li J.G. Wang K. Wu |
| author_facet | P.C. Xu Y.H. Shen H. Li J.G. Wang K. Wu |
| author_sort | P.C. Xu |
| collection | DOAJ |
| description | This paper proposes a novel method based on first-order statistics, aims to solve the problem of the independent component extraction of complex valued signals in instantaneous linear mixtures. Single-step and iterative algorithms are proposed and discussed under the engineering practice. Theoretical performance analysis about asymptotic interference-to-signal ratio (ISR) and probability of correct support estimation (PCE) are accomplished. Simulation examples validate the theoretic analysis, and demonstrate that the single-step algorithm is extremely effective. Moreover, the iterative algorithm is more efficient than complex FastICA under certain circumstances. |
| first_indexed | 2024-12-10T15:56:09Z |
| format | Article |
| id | doaj.art-50e0764a7eff485e91a9c840b5095047 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-10T15:56:09Z |
| publishDate | 2013-12-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-50e0764a7eff485e91a9c840b50950472022-12-22T01:42:37ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122013-12-0122411941201Independent Component Analysis of Complex Valued Signals Based on First-order StatisticsP.C. XuY.H. ShenH. LiJ.G. WangK. WuThis paper proposes a novel method based on first-order statistics, aims to solve the problem of the independent component extraction of complex valued signals in instantaneous linear mixtures. Single-step and iterative algorithms are proposed and discussed under the engineering practice. Theoretical performance analysis about asymptotic interference-to-signal ratio (ISR) and probability of correct support estimation (PCE) are accomplished. Simulation examples validate the theoretic analysis, and demonstrate that the single-step algorithm is extremely effective. Moreover, the iterative algorithm is more efficient than complex FastICA under certain circumstances.www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdfIndependent component analysiscomplex valued signalsfirst-order statistics |
| spellingShingle | P.C. Xu Y.H. Shen H. Li J.G. Wang K. Wu Independent Component Analysis of Complex Valued Signals Based on First-order Statistics Radioengineering Independent component analysis complex valued signals first-order statistics |
| title | Independent Component Analysis of Complex Valued Signals Based on First-order Statistics |
| title_full | Independent Component Analysis of Complex Valued Signals Based on First-order Statistics |
| title_fullStr | Independent Component Analysis of Complex Valued Signals Based on First-order Statistics |
| title_full_unstemmed | Independent Component Analysis of Complex Valued Signals Based on First-order Statistics |
| title_short | Independent Component Analysis of Complex Valued Signals Based on First-order Statistics |
| title_sort | independent component analysis of complex valued signals based on first order statistics |
| topic | Independent component analysis complex valued signals first-order statistics |
| url | http://www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdf |
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