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dc.contributor.authorLiu, Chun-Lien_US
dc.contributor.authorHang, Hsueh-Mingen_US
dc.date.accessioned2017-04-21T06:49:52Z-
dc.date.available2017-04-21T06:49:52Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-5046-6en_US
dc.identifier.issn2156-2318en_US
dc.identifier.urihttp://hdl.handle.net/11536/134871-
dc.description.abstractTechniques of using a microphone array to determine a sound source location, the localization problem, has been studied for many years. A popular method is the so-called MUSIC (Multiple Signal Classification). There is a second type of method that tries to solve both sound separation and localization problems in one setting. The second method used for localization purpose is less known. In this study, we investigate and compare these two approaches. We show the strengths of each method and what their best application scenarios are.(1)en_US
dc.language.isoen_USen_US
dc.subjectDOA estimationen_US
dc.subjectICAen_US
dc.subjectMUSICen_US
dc.subjectBSSen_US
dc.titleDirection of Arrival Estimation of Speech Signals Using ICA and MUSIC Methodsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4en_US
dc.citation.spage13en_US
dc.citation.epage+en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000293666500012en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper