Speech denoising using diversity enhanced discrete wavelet transform and MAP filters associations [articol]

dc.contributor.author	Bado, Pascal
dc.date.accessioned	2020-04-03T09:51:45Z
dc.date.accessioned	2021-03-01T08:51:06Z
dc.date.available	2020-04-03T09:51:45Z
dc.date.available	2021-03-01T08:51:06Z
dc.date.issued	2005
dc.identifier.citation	Bado, Pascal. Speech denoising using diversity enhanced discrete wavelet transform and MAP filters associations. Timişoara: Editura Politehnica, 2005	en_US
dc.identifier.uri	http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Speech%20denoising%20using%20diversity%20enhanced%20discrete%20wavelet%20transform%20and%20MAP%20filters%20associations&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract	In this paper, we present new speech denosing methods based on some types of maximum a posteriori (MAP) filters applied in the wavelet domain. These methods take into account the statistical properties of the discrete wavelets transform (DWT) coefficients of speech signals. The experimental results are compared with those obtained in another paper published in this magazine, [1].	en_US
dc.language.iso	en	en_US
dc.publisher	Timişoara: Editura Politehnica	en_US
dc.relation.ispartofseries	Seria electronică şi telecomunicaţii, Tom 50(64), fasc. 2 (2005)
dc.subject	Wavelets	en_US
dc.subject	Bishrink	en_US
dc.subject	MAP filters	en_US
dc.subject	Bayes	en_US
dc.subject	Wiener	en_US
dc.title	Speech denoising using diversity enhanced discrete wavelet transform and MAP filters associations [articol]	en_US
dc.type	Article	en_US