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dc.contributor.authorArdekani, Iman
dc.contributor.authorAbdulla, W. H.
dc.date.accessioned2015-04-13T19:55:39Z
dc.date.available2015-04-13T19:55:39Z
dc.date.issued2013
dc.identifier.issn1520-6149
dc.identifier.urihttps://hdl.handle.net/10652/2737
dc.description.abstractThis paper concerns about the theoretical stability of the adaptation process performed by the Filtered-x Least Mean Square (FxLMS) algorithm in active control of acoustic noise. A dynamic model for the Variance of Residual Acoustic Noise (VRAN) is developed and it is shown that the stability of this model is a sufficient condition for the stability of the adaptation process. The basic rules governing the VRAN root locus are developed, based on which an upper-bound for the adaptation step-size is derived. This upper-bound can apply to a general case with an arbitrary secondary path, unlike the traditional upper-bound used in adaptive filter theory, which was derived only for pure delay secondary paths.en_NZ
dc.language.isoenen_NZ
dc.publisherInstitute of Electrical and Electronics Engineersen_NZ
dc.relation.urihttp://ieeexplore.ieee.org/en_NZ
dc.subjectactive noise control (ANC)en_NZ
dc.subjectFxLMS algorithmen_NZ
dc.subjectstochastic noiseen_NZ
dc.subjectANC
dc.titleStability of residual acoustic noise variance in active control of stochastic noiseen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderInstitute of Electrical and Electronics Engineersen_NZ
dc.identifier.doiDOI: 10.1109/ICASSP.2013.6637673en_NZ
dc.subject.marsden091301 Acoustics and Noise Control (excl. Architectural Acoustics)en_NZ
dc.identifier.bibliographicCitationArdekani, I. T., and Abdulla, W. H. (2013). Stability of residual acoustic noise variance in active control of stochastic noise. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Canada(Ed.). NOTE: This is research undertaken for the University of Auckland prior to the first author being affiliated with the Unitec Institute of Technology.en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.institutionUniversity of Aucklanden_NZ
unitec.publication.spage379en_NZ
unitec.publication.lpage382en_NZ
unitec.publication.titleIEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2013)en_NZ
unitec.conference.titleIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2013)en_NZ
unitec.conference.orgInstitute of Electrical and Electronics Engineersen_NZ
unitec.conference.locationVancouver, BC, Canadaen_NZ
unitec.conference.sdate2013-05-26
unitec.conference.edate2013-05-31
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUniversity of Aucklanden_NZ
unitec.identifier.roms55185en_NZ
unitec.institution.studyareaComputing


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