Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics
This paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. The first stage constructs a cost function by extending the real-valued whiten cost function to a complex-valued domain and optim...
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Format: | Article |
Language: | English |
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Wiley
2016-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/2467198 |
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author | Yanfei Jia Xiaodong Yang |
author_facet | Yanfei Jia Xiaodong Yang |
author_sort | Yanfei Jia |
collection | DOAJ |
description | This paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. The first stage constructs a cost function by extending the real-valued whiten cost function to a complex-valued domain and optimizes the cost function using a complex-valued gradient. The second stage uses the restriction that the pseudocovariance matrix of the separated signal is a diagonal matrix to construct the cost function and the geodesic method is used to optimize the cost function. Compared with other adaptive complex-valued independent component analysis, the proposed method shows a faster convergence rate and smaller error. Computer simulations were performed on synthesized signals and communications signals. The simulation results demonstrate the validity of the proposed algorithm. |
format | Article |
id | doaj-art-485d0b48a64a44eebb35a83393baccec |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2016-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-485d0b48a64a44eebb35a83393baccec2025-02-03T05:45:49ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/24671982467198Adaptive Complex-Valued Independent Component Analysis Based on Second-Order StatisticsYanfei Jia0Xiaodong Yang1College of Information and Communication Engineering, Harbin Engineering University, Heilongjiang 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Heilongjiang 150001, ChinaThis paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. The first stage constructs a cost function by extending the real-valued whiten cost function to a complex-valued domain and optimizes the cost function using a complex-valued gradient. The second stage uses the restriction that the pseudocovariance matrix of the separated signal is a diagonal matrix to construct the cost function and the geodesic method is used to optimize the cost function. Compared with other adaptive complex-valued independent component analysis, the proposed method shows a faster convergence rate and smaller error. Computer simulations were performed on synthesized signals and communications signals. The simulation results demonstrate the validity of the proposed algorithm.http://dx.doi.org/10.1155/2016/2467198 |
spellingShingle | Yanfei Jia Xiaodong Yang Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics Journal of Electrical and Computer Engineering |
title | Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics |
title_full | Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics |
title_fullStr | Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics |
title_full_unstemmed | Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics |
title_short | Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics |
title_sort | adaptive complex valued independent component analysis based on second order statistics |
url | http://dx.doi.org/10.1155/2016/2467198 |
work_keys_str_mv | AT yanfeijia adaptivecomplexvaluedindependentcomponentanalysisbasedonsecondorderstatistics AT xiaodongyang adaptivecomplexvaluedindependentcomponentanalysisbasedonsecondorderstatistics |