Fast Converging Nonlinear Echo Cancellation Based On Optimum Step Size

dc.citation.epage	139	en_US
dc.citation.spage	135	en_US
dc.contributor.author	Shih, Chia-Sheng	en_US
dc.contributor.author	Hsieh, Shih-Fu	en_US
dc.contributor.department	電子工程學系及電子研究所	zh_TW
dc.contributor.department	Department of Electronics Engineering and Institute of Electronics	en_US
dc.date.accessioned	2014-12-08T15:17:51Z
dc.date.available	2014-12-08T15:17:51Z
dc.date.issued	2009	en_US
dc.description.abstract	Adaptive Volterra filter is generally known to track nonlinear echo path at slow convergence rate. An optimum time- and tap- variant step-size for second-order Volterra filter is proposed to speed up its convergence rate. The step-size is derived based on the MMSE criterion. As the optimum step-size needs to know the real echo path coefficient, an exponential echo-path model is proposed for practical implementations. Computer simulations are provided to validate the proposed algorithms.	en_US
dc.identifier.isbn	978-1-4244-5949-0	en_US
dc.identifier.journal	2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009)	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/12945
dc.identifier.wosnumber	WOS:000290365400025
dc.language.iso	en_US	en_US
dc.subject	Adaptive filtering	en_US
dc.subject	Nonlinear Identification	en_US
dc.title	Fast Converging Nonlinear Echo Cancellation Based On Optimum Step Size	en_US
dc.type	Proceedings Paper	en_US

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