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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Veröffentlicht in:	SpringerPlus Jg. 5; H. 1
Hauptverfasser:	Lim, Jun-seok, Pang, Hee-Suk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 31.08.2016
Schlagworte:	Engineering Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary) RLS Convex regularization TLS 1-norm Adaptive filter Sparsity
ISSN:	2193-1801
Online-Zugang:	Volltext
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