LMS/LMF and RLS Volterra system identification based on nonlinear Wiener model

This paper presents the LMS/LMF and RLS adaptive filtering algorithms based on the nonlinear Wiener model for Volterra system identification. This Wiener model contains three sections: a single-input multi-output linear with memory system, a multi-input, multi-output nonlinear no-memory system and a...

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Bibliographic Details

Published in:	1998 IEEE International Symposium on Circuits and Systems Vol. 5; pp. 206 - 209 vol.5
Main Authors:	Shue-Lee Chang, Ogunfunmi, T.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 1998
Subjects:	Autocorrelation Computational complexity Convergence Filtering algorithms Kernel Least squares approximation Maximum likelihood detection Polynomials Resonance light scattering System identification
ISBN:	9780780344556, 0780344553
Online Access:	Get full text
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