Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Noise cancellation over spatial regions using adaptive wave domain processing

dc.contributor.authorZhang, Jihui (Aimee)
dc.contributor.authorZhang, Wen
dc.contributor.authorAbhayapala, Thushara
dc.coverage.spatialNew Paltz, United States
dc.date.accessioned2019-03-07T01:21:14Z
dc.date.available2019-03-07T01:21:14Z
dc.date.createdOctober 18-21, 2015
dc.date.issued2015
dc.date.updated2019-03-06T23:52:29Z
dc.description.abstractThis paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array is used to generate the anti-noise signals. We develop the adaptive wave-domain filtered-x least mean square algorithm. Simulation results show that using the proposed method the noise over the entire control region can be significantly reduced with fast convergence in both free-field and reverberant environmentsen_AU
dc.description.sponsorshipThanks to Australian Research Councils Discovery Projects funding scheme (project no. DP140103412). The work of J. Zhang was sponsored by the China Scholarship Council with the Australian National University.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9781479974504en_AU
dc.identifier.urihttp://hdl.handle.net/1885/157009
dc.language.isoen_AUen_AU
dc.provenancehttps://www.ieee.org/publications/rights/index.html#ieee-open-access..."The revised policy reaffirms the principle that authors are free to post the accepted version of their articles on their personal websites or those of their employers. " from the publisher site (as at 07/03/19). © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_AU
dc.publisherIEEEen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP140103412en_AU
dc.relation.ispartofseriesIEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
dc.rights©2015 IEEEen_AU
dc.sourceIEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015en_AU
dc.titleNoise cancellation over spatial regions using adaptive wave domain processingen_AU
dc.typeConference paperen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage5en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationZhang, Jihui, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationZhang, Wen, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationAbhayapala, Pallage (Thushara), College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidZhang, Jihui, u5667579en_AU
local.contributor.authoruidZhang, Wen, u2580478en_AU
local.contributor.authoruidAbhayapala, Pallage (Thushara), u9701943en_AU
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor090609 - Signal Processingen_AU
local.identifier.absseo970109 - Expanding Knowledge in Engineeringen_AU
local.identifier.ariespublicationU3488905xPUB13201en_AU
local.identifier.doi10.1109/WASPAA.2015.7336946en_AU
local.identifier.scopusID2-s2.0-84960865009
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusAccepted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
P18_Dp14.pdf
Size:
398.02 KB
Format:
Adobe Portable Document Format