| An improved form of the ELMS algorithm |
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| 引用本文： | Gao Ying 1,2 & Xie Shengli21. Department of Electronic and Communication Engineering,South China University of Technology,Guangzhou 510641,P. R. China,2. Department of Computer Science and Technology,Guangzhou University,Guangzhou 510405,P. R. China(Received November 1,2003). An improved form of the ELMS algorithm[J]. 系统工程与电子技术(英文版), 2005, 16(2) |
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| 作者姓名： | Gao Ying 1 2 & Xie Shengli21. Department of Electronic and Communication Engineering South China University of Technology Guangzhou 510641 P. R. China 2. Department of Computer Science and Technology Guangzhou University Guangzhou 510405 P. R. China(Received November 1 2003) |
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| 作者单位： | Received November 1，2003 |
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| 基金项目： | TheprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60325310,60274006)，thePostDoctorScienceFoundationofChina(2003034062)，theNaturalScienceFoundationofGuangdongProvince(04300015)，theNaturalScienceFoundationoftheEducationDepartmentofGuangdon |
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| 摘 要： | 1.INTRODUCTION Adaptiveechocancellersarewidelyemployedintele conferencingsystemsinordertocompensateforthe impairmentinthequalityduotoundesiredechoesre sultingfromcouplingbetweenloudspeakerandmicro phone.Inastereophonicenvironment,thefunda mentalproblemofechocancellationisthatgiventhe inputtotheloudspeakersandtheoutputofthemicro phonesinthereceivingroom,theechopathcannot bedetermineduniquely[3,8,9].Theproblemisdueto thecorrelationbetweenthestereosignals.Asare sult,anyadaptivetechniqueusedi…
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An improved form of the ELMS algorithm |
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| Gao Ying,Xie Shengli. An improved form of the ELMS algorithm[J]. Journal of Systems Engineering and Electronics, 2005, 16(2) |
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| Authors: | Gao Ying Xie Shengli |
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| Affiliation: | 1. Department of Electronic and Communication Engineering,South China University of Technology, Guangzhou 510641, P. R. China;Department of Computer Science and Technology, Guangzhou University, Guangzhou 510405, P. R. China
2. Department of Computer Science and Technology, Guangzhou University, Guangzhou 510405, P. R. China |
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| Abstract: | ELMS algorithm is the first two-channel adaptive filtering algorithm that takes into account the cross-correlation between the two input signals. The algorithm does not preprocess input signals, so it does not degrade the quality of the speech. However, a lot of computer simulation results show that ELMS algorithm has a bad performance. The ELMS algorithm is analyzed firstly, then a new algorithm is presented by modifying the block matrix used in ELMS algorithm to approximate input signals self-correlation matrix. The computer simulation results indicate that the improved algorithm has a better behavior than the ELMS algorithm. |
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| Keywords: | two-channel echo canceling ELMS algorithm ENLMS algorithm self-correlation matrix cross-correlation. |
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