Nonlinear acoustic echo cancellation using low-complexity low-rank recursive least-squares algorithms

Adaptive exponential functional link networks (AEFLN) are a type of linear-in-the-parameter nonlinear filters, which have shown enhanced modeling capability for nonlinear systems. However, the convergence speed of traditional AEFLN is generally slow for long impulse responses, hence, AEFLN trained u...

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Veröffentlicht in:	Signal processing Jg. 225; S. 109623
Hauptverfasser:	Patel, Vinal, Bhattacharjee, Sankha Subhra, Jensen, Jesper Rindom, Christensen, Mads Græsbøll, Benesty, Jacob
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024
Schlagworte:	Linear-in-the parameter nonlinear filter Low-rank approximation Nearest Kronecker product Nonlinear echo cancellation Recursive least-squares algorithm Nonlinear echo cancellation Nearest Kronecker product Linear-in-the parameter nonlinear filter Low-rank approximation Recursive least-squares algorithm
ISSN:	0165-1684
Online-Zugang:	Volltext
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