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dc.contributor.author권영헌-
dc.date.accessioned2021-01-27T01:33:48Z-
dc.date.available2021-01-27T01:33:48Z-
dc.date.issued2002-07-
dc.identifier.citation한국음향학회지, v. 21, issue. 4, page. 178-182en_US
dc.identifier.issn1225-4428-
dc.identifier.issn2287-3775-
dc.identifier.urihttps://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=JAKO200211921990180-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/157556-
dc.description.abstractIn this paper, we propose an adaptive wavelet method for car interior noise cancellation. For this purpose, we use a node dependent threshold which minimizes the Bayesian risk. We propose a noise estimation method based on spectral entropy using histogram of intensity and a candidate best basis instead of Donoho's best bases. And we modify the hard threshold function. Experimental results show that the proposed algorithm is more efficient, especially to heavy noisy signal than conventional one.en_US
dc.language.isoen_USen_US
dc.publisher한국음향학회en_US
dc.titleAdaptive Wavelet Denoising For Speech Rocognition in Car Interior Noiseen_US
dc.typeArticleen_US
dc.contributor.googleauthor김이재-
dc.contributor.googleauthor양성일-
dc.contributor.googleauthorKwon, Y.-
dc.contributor.googleauthorJarng, Soon S.-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF APPLIED PHYSICS-
dc.identifier.pidyyhkwon-
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > APPLIED PHYSICS(응용물리학과) > Articles
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