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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/7258

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Title: Adaptively combined LMS and logistic equalizers
Author(s): Martínez-Ramón, Manel
Artés-Rodríguez, Antonio
Navia-Vázquez, Ángel
Figueiras-Vidal, Aníbal R.
Publisher: IEEE
Issued date: Oct-2004
Citation: IEEE signal processing letters, vol. 11, n. 10,p.777-779. Oct. 2004
URI: http://hdl.handle.net/10016/7258
DOI: 10.1109/LSP.2004.835460
Abstract: An adaptive, convex linear combination of the outputs of a standard least mean square (LMS) equalizer and a sigmoidal equalizer is proposed. This procedure results in improving the speed of the LMS equalizer while retaining the low steady-state error of the sigmoidal filter. Appropriate adaption schemes for both of the filters and for the combination parameters are established. Simulations of practical communication applications demonstrate the effectiveness of this adaptive combination.
Review: PeerReviewed
Publisher version: http://dx.doi.org/10.1109/LSP.2004.835460
Keywords: Equalization
Adaptive combination
Least mean square
Logistic
Nonlinear
Rights: © IEEE
Appears in Collections:DTSC - G2PI - Artículos de Revistas

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