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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Vydané v:	1998 IEEE International Symposium on Circuits and Systems Ročník 5; s. 206 - 209 vol.5
Hlavní autori:	Shue-Lee Chang, Ogunfunmi, T.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 1998
Predmet:	Autocorrelation Computational complexity Convergence Filtering algorithms Kernel Least squares approximation Maximum likelihood detection Polynomials Resonance light scattering System identification
ISBN:	9780780344556, 0780344553
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