Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2561
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherSun, H. Y.-
dc.contributor.otherLee, Y. Y.-
dc.contributor.otherNg, C. F.-
dc.date.accessioned2022-03-14T07:04:00Z-
dc.date.available2022-03-14T07:04:00Z-
dc.date.issued2008-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2561-
dc.description.abstractIn this paper, a probabilistic approach is introduced and used to distinguish between the interior pressures that are induced from two independent sound sources within a rectangular room. One source is a vibrating wall of the room and the other is an interior point source. The model is set up using the modal analysis method. In the probabilistic method, the probability densities of the uncertain acoustic model parameters are computed. The values of highest probability density are identified and assigned to the uncertain parameters in the acoustic model. The contributions of the sound sources to the total pressure are then obtained from the acoustic model input with the identified parameters. The effects of the modal truncations, the modeling errors, and the measurement locations on the accuracies of the identification process are studied.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Acousticsen_US
dc.titleDistinguishing between the interior pressures induced from two independent sources within a room using the probabilistic approachen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/j.apacoust.2006.12.008-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0003-682Xen_US
dc.description.volume69en_US
dc.description.issue6en_US
dc.description.startpage496en_US
dc.description.endpage505en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypejournal article-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
Appears in Collections:CIS Publication
SFX Query Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.