Performance of the Frequency-Response-Shaped LMS algorithm in impulsive noise

dc.contributor.authorAhmad, Mohammad Shukri
dc.contributor.authorHocanin, Aykut
dc.contributor.authorKukrer, Osman
dc.date.accessioned2026-02-06T17:54:40Z
dc.date.issued2007
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 --
dc.description.abstractThe performance of the Frequency-Response-Shaped Least Mean Square (FRS-LMS) adaptive algorithm in estimating a sinusoidal signal in impulsive and correlated noise is investigated. The algorithm does not require a priori knowledge about the nominal Gaussian process and is able to adapt to changes in the environment. The performance of the FRS-LMS is compared to that of the Leaky-LMS algorithms in terms of Mean Square Error (MSE) and convergence speed. The results indicate that while the FRS-LMS and the Leaky LMS algorithms perform similarly in AWGN, the FRS-LMS provides superior performance in impulsive and correlated noise environments. The performance gain is due to the frequency shaping and outlier reduction properties of the algorithm. © 2007 IEEE.
dc.identifier.doi10.1109/ICSPC.2007.4728302
dc.identifier.endpage252
dc.identifier.isbn9781424412365
dc.identifier.scopus2-s2.0-60349116280
dc.identifier.scopusqualityN/A
dc.identifier.startpage249
dc.identifier.urihttps://doi.org/10.1109/ICSPC.2007.4728302
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7534
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectCorrelated noise
dc.subjectFRS-LMS
dc.subjectImpulsive noise
dc.subjectLeaky-LMS
dc.titlePerformance of the Frequency-Response-Shaped LMS algorithm in impulsive noise
dc.typeConference Object

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