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Optimum design of vector-quantzed subband codecs

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dc.contributor.authorJee, I.-
dc.contributor.authorHaddad, R.A.-
dc.date.accessioned2022-05-19T02:40:58Z-
dc.date.available2022-05-19T02:40:58Z-
dc.date.created2022-05-19-
dc.date.issued1998-
dc.identifier.issn1053-587X-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/27771-
dc.description.abstractThis correspondence provides an approach for representing an optimum vector quantizer by a scalar nonlinear gain-plus-additive noise model. The validity and accuracy of this analytic model is confirmed by comparing the calculated model quantization errors with actual simulation of the optimum Linde-Buzo-Gray (LBG) vector quantizer. Using this model, we form MSE measure of an M-band filter bank codec in terms of the equivalent scalar quantization model and find the optimum FIR filter coefficients for each channel in the M-band structure for a given bit rate, given filter length, and given input signal correlation model. Specific design examples are worked out for four-tap filters in the two-band paraunitary case. These theoretical results are confirmed by extensive Monte Carlo simulation. © 1998 IEEE.-
dc.language영어-
dc.language.isoen-
dc.titleOptimum design of vector-quantzed subband codecs-
dc.typeArticle-
dc.contributor.affiliatedAuthorJee, I.-
dc.identifier.doi10.1109/78.705449-
dc.identifier.scopusid2-s2.0-0032136368-
dc.identifier.bibliographicCitationIEEE Transactions on Signal Processing, v.46, no.8, pp.2239 - 2243-
dc.relation.isPartOfIEEE Transactions on Signal Processing-
dc.citation.titleIEEE Transactions on Signal Processing-
dc.citation.volume46-
dc.citation.number8-
dc.citation.startPage2239-
dc.citation.endPage2243-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
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