Recursive least-squares algorithm based on a third-order tensor decomposition for low-rank system identification

A recently developed third-order tensor (TOT) decomposition-based method has proved to be working very well in linear system identification problems that target the estimation of long length impulse responses. This technique exploits the decomposition of the impulse response based on the nearest Kro...

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Vydané v:	Signal processing Ročník 213; s. 109216
Hlavní autori:	Paleologu, Constantin, Benesty, Jacob, Stanciu, Cristian-Lucian, Jensen, Jesper Rindom, Christensen, Mads Græsbøll, Ciochină, Silviu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2023
Predmet:	Adaptive filter Echo cancellation Impulse response decomposition Low-rank system Nearest Kronecker product Recursive least-squares (RLS) algorithm System identification Third-order tensor decomposition Nearest Kronecker product Recursive least-squares (RLS) algorithm Adaptive filter System identification Third-order tensor decomposition Echo cancellation Low-rank system Impulse response decomposition
ISSN:	0165-1684, 1872-7557
On-line prístup:	Získať plný text
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