Data-Reuse Extended NLMS Algorithm Based on Optimized Time-Varying Step-Size for System Identification

Simple item page
dc.contributor.authorBercag, Hakan
dc.contributor.authorKukrer, Osman
dc.contributor.authorHocanin, Aykut
dc.date.accessioned2026-02-06T18:26:34Z
dc.date.issued2024
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractA new extended normalized least-mean-square (ENLMS) algorithm is proposed. A novel non-linear time-varying step-size (NLTVSS) formula is derived. The convergence rate of ENLMS increases due to NLTVSS as the number of data-reuse L is increased. ENLMS does not involve matrix inversion, and, thus, avoids numerical instability issues.
dc.identifier.doi10.1587/transfun.2023EAL2072
dc.identifier.endpage1373
dc.identifier.issn0916-8508
dc.identifier.issn1745-1337
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85200339715
dc.identifier.scopusqualityQ4
dc.identifier.startpage1369
dc.identifier.urihttps://doi.org/10.1587/transfun.2023EAL2072
dc.identifier.urihttps://hdl.handle.net/11129/10551
dc.identifier.volumeE107A
dc.identifier.wosWOS:001302034600002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeice-Inst Electronics Information Communication Engineers
dc.relation.ispartofIeice Transactions on Fundamentals of Electronics Communications and Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260204
dc.subjectadaptive filter
dc.subjectNLMS
dc.subjectstep-size
dc.subjectconvergence rate
dc.subjectdata-reuse
dc.titleData-Reuse Extended NLMS Algorithm Based on Optimized Time-Varying Step-Size for System Identification
dc.typeArticle

Files

Collections

WoS Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu