ℓ1-regularized recursive total least squares based sparse system identification for the error-in-variables

In this paper an ℓ 1 -regularized recursive total least squares (RTLS) algorithm is considered for the sparse system identification. Although recursive least squares (RLS) has been successfully applied in sparse system identification, the estimation performance in RLS based algorithms becomes worse,...

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Vydané v:	SpringerPlus Ročník 5; číslo 1
Hlavní autori:	Lim, Jun-seok, Pang, Hee-Suk
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 31.08.2016
Predmet:	Engineering Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary) RLS Convex regularization TLS 1-norm Adaptive filter Sparsity
ISSN:	2193-1801
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