An optimized EASI algorithm
This paper addresses the problem of blind source separation and presents a kind of optimized equivariant adaptive separation via independence (EASI) algorithms. According to the cumulant based approximation to the mutual information contrast function, the EASI learning rule is optimized by multiplyi...
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| Published in | Signal processing Vol. 89; no. 3; pp. 333 - 338 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.03.2009
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper addresses the problem of blind source separation and presents a kind of optimized equivariant adaptive separation via independence (EASI) algorithms. According to the cumulant based approximation to the mutual information contrast function, the EASI learning rule is optimized by multiplying the symmetric part with an optimal time variant weight coefficient. Simulation results show the proposed optimized EASI algorithms outperform the existing algorithms in convergent speed and steady-state accuracy. |
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| AbstractList | This paper addresses the problem of blind source separation and presents a kind of optimized equivariant adaptive separation via independence (EASI) algorithms. According to the cumulant based approximation to the mutual information contrast function, the EASI learning rule is optimized by multiplying the symmetric part with an optimal time variant weight coefficient. Simulation results show the proposed optimized EASI algorithms outperform the existing algorithms in convergent speed and steady-state accuracy. |
| Author | Jin, Haihong Ye, Jimin Lou, Shuntian You, Kejun |
| Author_xml | – sequence: 1 givenname: Jimin surname: Ye fullname: Ye, Jimin email: jmye@mail.xidian.edu.cn organization: School of Science, Xidian University, Xi’an 710071, China – sequence: 2 givenname: Haihong surname: Jin fullname: Jin, Haihong email: jinhh@xsyu.edu.cn organization: School of Science, Xi’anshiyou University, Xi’an 710065, China – sequence: 3 givenname: Shuntian surname: Lou fullname: Lou, Shuntian email: shtlou@mail.xidian.edu.cn organization: School of Electronic Engineering, Xidian University, Xi’an 710071, China – sequence: 4 givenname: Kejun surname: You fullname: You, Kejun email: kejunyou@163.com organization: School of Science, Xidian University, Xi’an 710071, China |
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| Cites_doi | 10.1109/5.720250 10.1016/0165-1684(94)90029-9 10.1016/S0925-2312(97)00045-3 10.1109/72.761722 10.1109/78.553476 10.1162/neco.1997.9.7.1457 10.1016/j.neucom.2005.05.009 |
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| Keywords | Cumulant based approximation of contrast function Blind source separation EASI algorithm Learning Performance evaluation Accuracy Simulation Signal processing Algorithm Steady state Cumulant Mutual information |
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| References_xml | – volume: 69 start-page: 264 year: December 2005 end-page: 272 ident: bib8 article-title: A fixed-point nonlinear PCA algorithm for blind source separation publication-title: Neurocomputing contributor: fullname: Xianda – volume: 9 start-page: 1457 year: 1997 end-page: 1482 ident: bib10 article-title: Adaptive on-line learning algorithms for blind separation: maximum entropy and minimum mutual information publication-title: Neural Computation contributor: fullname: Amari – volume: 47 start-page: 55 year: 2004 end-page: 65 ident: bib6 article-title: Natural gradient-based recursive least-squares algorithm for adaptive blind source separation publication-title: Sci. China Ser. F contributor: fullname: Ye – volume: 10 start-page: 626 year: May 1999 end-page: 634 ident: bib7 article-title: Fast and robust fixed-point algorithms for independent component analysis publication-title: IEEE Trans. Neural Networks contributor: fullname: Hyvarinen – volume: 17 start-page: 25 year: September 1997 end-page: 46 ident: bib5 article-title: The nonlinear PCA learning in independent component analysis publication-title: Neurocomputing contributor: fullname: Oja – volume: 44 start-page: 3017 year: December 1996 end-page: 3029 ident: bib4 article-title: Equivariant adaptive source separation publication-title: IEEE Trans. Signal Process. contributor: fullname: Laheld – year: 2001 ident: bib1 article-title: Independent Component Analysis contributor: fullname: Oja – volume: 86 start-page: 2009 year: 1998 end-page: 2025 ident: bib9 article-title: Blind signal separation: statistical principles publication-title: Proc. IEEE contributor: fullname: Cardoso – volume: 36 start-page: 287 year: March 1994 end-page: 314 ident: bib2 article-title: Independent component analysis, a new concept? publication-title: Signal Processing contributor: fullname: Comon – volume: 86 start-page: 2009 issue: 10 year: 1998 ident: 10.1016/j.sigpro.2008.08.015_bib9 article-title: Blind signal separation: statistical principles publication-title: Proc. IEEE doi: 10.1109/5.720250 contributor: fullname: Cardoso – volume: 36 start-page: 287 issue: 3 year: 1994 ident: 10.1016/j.sigpro.2008.08.015_bib2 article-title: Independent component analysis, a new concept? publication-title: Signal Processing doi: 10.1016/0165-1684(94)90029-9 contributor: fullname: Comon – volume: 17 start-page: 25 issue: 1 year: 1997 ident: 10.1016/j.sigpro.2008.08.015_bib5 article-title: The nonlinear PCA learning in independent component analysis publication-title: Neurocomputing doi: 10.1016/S0925-2312(97)00045-3 contributor: fullname: Oja – volume: 10 start-page: 626 issue: 3 year: 1999 ident: 10.1016/j.sigpro.2008.08.015_bib7 article-title: Fast and robust fixed-point algorithms for independent component analysis publication-title: IEEE Trans. Neural Networks doi: 10.1109/72.761722 contributor: fullname: Hyvarinen – volume: 47 start-page: 55 issue: 1 year: 2004 ident: 10.1016/j.sigpro.2008.08.015_bib6 article-title: Natural gradient-based recursive least-squares algorithm for adaptive blind source separation publication-title: Sci. China Ser. F contributor: fullname: Zhu – volume: 44 start-page: 3017 issue: 12 year: 1996 ident: 10.1016/j.sigpro.2008.08.015_bib4 article-title: Equivariant adaptive source separation publication-title: IEEE Trans. Signal Process. doi: 10.1109/78.553476 contributor: fullname: Cardoso – volume: 9 start-page: 1457 year: 1997 ident: 10.1016/j.sigpro.2008.08.015_bib10 article-title: Adaptive on-line learning algorithms for blind separation: maximum entropy and minimum mutual information publication-title: Neural Computation doi: 10.1162/neco.1997.9.7.1457 contributor: fullname: Yang – ident: 10.1016/j.sigpro.2008.08.015_bib3 – year: 2001 ident: 10.1016/j.sigpro.2008.08.015_bib1 contributor: fullname: Hyvarinen – volume: 69 start-page: 264 year: 2005 ident: 10.1016/j.sigpro.2008.08.015_bib8 article-title: A fixed-point nonlinear PCA algorithm for blind source separation publication-title: Neurocomputing doi: 10.1016/j.neucom.2005.05.009 contributor: fullname: Zhu |
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| SubjectTerms | Adaptive algorithms Algorithms Applied sciences Approximation Blind source separation Blinds Cumulant based approximation of contrast function Detection, estimation, filtering, equalization, prediction EASI algorithm Exact sciences and technology Information, signal and communications theory Learning Mathematical analysis Miscellaneous Optimization Separation Signal and communications theory Signal processing Signal, noise Telecommunications and information theory |
| Title | An optimized EASI algorithm |
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