Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.215299
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dc.titleDesign of weighted minimax quadrature mirror filters
dc.contributor.authorLim, Y.C.
dc.contributor.authorYang, Rong Huan
dc.contributor.authorKoh, S-N.
dc.date.accessioned2014-06-17T06:46:34Z
dc.date.available2014-06-17T06:46:34Z
dc.date.issued1993-05
dc.identifier.citationLim, Y.C., Yang, Rong Huan, Koh, S-N. (1993-05). Design of weighted minimax quadrature mirror filters. IEEE Transactions on Signal Processing 41 (5) : 1780-1789. ScholarBank@NUS Repository. https://doi.org/10.1109/78.215299
dc.identifier.issn1053587X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62022
dc.description.abstractQuadrature mirror filters have been used extensively for splitting speech signals into subbands which result in no aliasing problem when the subband signals are decimated and then interpolated and recombined. In this paper, we introduce a novel and efficient optimization method for the design of quadrature mirror filters optimum in the weighted least squares sense. By a suitable choice of the least squares weighting function, the weighted minimax quadrature mirror filter is produced. The minimax tolerance weighting function can be arbitrarily defined.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/78.215299
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/78.215299
dc.description.sourcetitleIEEE Transactions on Signal Processing
dc.description.volume41
dc.description.issue5
dc.description.page1780-1789
dc.description.codenITPRE
dc.identifier.isiutA1993LC85400003
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