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dc.contributor.authorSayin, M. O.en_US
dc.contributor.authorVanli, N. D.en_US
dc.contributor.authorKozat, S. S.en_US
dc.date.accessioned2016-02-08T11:35:24Z
dc.date.available2016-02-08T11:35:24Z
dc.date.issued2014en_US
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/11693/26775
dc.description.abstractWe present a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based on the error amount. We introduce the least mean logarithmic square (LMLS) algorithm that achieves comparable convergence performance with the least mean fourth (LMF) algorithm and overcomes the stability issues of the LMF algorithm. In addition, we introduce the least logarithmic absolute difference (LLAD) algorithm. The LLAD and least mean square (LMS) algorithms demonstrate similar convergence performance in impulse-free noise environments while the LLAD algorithm is robust against impulsive interference and outperforms the sign algorithm (SA). © 2014 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE International Conference on Acoustics, Speech and Signal Processing. Proceedingsen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.2014.6854456en_US
dc.subjectLogarithmic cost functionen_US
dc.subjectRobustness against impulsive noiseen_US
dc.subjectStable adaptive methoden_US
dc.subjectAdaptive algorithmsen_US
dc.subjectAbsolute differenceen_US
dc.subjectAdaptive filtering algorithmsen_US
dc.subjectAdaptive methodsen_US
dc.subjectConvergence performanceen_US
dc.subjectImproved convergenceen_US
dc.subjectImpulsive interferenceen_US
dc.subjectLeast mean square algorithmsen_US
dc.subjectNoise environmentsen_US
dc.subjectSignal processingen_US
dc.titleImproved convergence performance of adaptive algorithms through logarithmic costen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage4513en_US
dc.citation.epage4517en_US
dc.identifier.doi10.1109/ICASSP.2014.6854456en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.identifier.eissn2379-190Xen_US


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