dc.contributor.author | Ardekani, Iman | |
dc.contributor.author | Abdulla, W. H. | |
dc.date.accessioned | 2015-04-13T19:55:39Z | |
dc.date.available | 2015-04-13T19:55:39Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1520-6149 | |
dc.identifier.uri | https://hdl.handle.net/10652/2737 | |
dc.description.abstract | This 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.iso | en | en_NZ |
dc.publisher | Institute of Electrical and Electronics Engineers | en_NZ |
dc.relation.uri | http://ieeexplore.ieee.org/ | en_NZ |
dc.rights | All rights reserved | en_NZ |
dc.subject | active noise control (ANC) | en_NZ |
dc.subject | FxLMS algorithm | en_NZ |
dc.subject | stochastic noise | en_NZ |
dc.subject | ANC | |
dc.title | Stability of residual acoustic noise variance in active control of stochastic noise | en_NZ |
dc.type | Conference Contribution - Paper in Published Proceedings | en_NZ |
dc.rights.holder | Institute of Electrical and Electronics Engineers | en_NZ |
dc.identifier.doi | DOI: 10.1109/ICASSP.2013.6637673 | en_NZ |
dc.subject.marsden | 091301 Acoustics and Noise Control (excl. Architectural Acoustics) | en_NZ |
dc.identifier.bibliographicCitation | Ardekani, 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.institution | Unitec Institute of Technology | en_NZ |
unitec.institution | University of Auckland | en_NZ |
unitec.publication.spage | 379 | en_NZ |
unitec.publication.lpage | 382 | en_NZ |
unitec.publication.title | IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2013) | en_NZ |
unitec.conference.title | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2013) | en_NZ |
unitec.conference.org | Institute of Electrical and Electronics Engineers | en_NZ |
unitec.conference.location | Vancouver, BC, Canada | en_NZ |
unitec.conference.sdate | 2013-05-26 | |
unitec.conference.edate | 2013-05-31 | |
unitec.peerreviewed | yes | en_NZ |
dc.contributor.affiliation | University of Auckland | en_NZ |
unitec.identifier.roms | 55185 | en_NZ |
unitec.institution.studyarea | Computing | |