Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.806074
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dc.titleAn efficient algorithm to design weighted minimax perfect reconstruction quadrature mirror filter banks
dc.contributor.authorGoh, C.-K.
dc.contributor.authorLim, Y.C.
dc.date.accessioned2014-06-17T06:44:06Z
dc.date.available2014-06-17T06:44:06Z
dc.date.issued1999
dc.identifier.citationGoh, C.-K., Lim, Y.C. (1999). An efficient algorithm to design weighted minimax perfect reconstruction quadrature mirror filter banks. IEEE Transactions on Signal Processing 47 (12) : 3303-3314. ScholarBank@NUS Repository. https://doi.org/10.1109/78.806074
dc.identifier.issn1053587X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/61798
dc.description.abstractAn efficient algorithm is presented in this paper to design lattice structure two-channel perfect reconstruction quadrature mirror filter (PR-QMF) banks. We formulate the filter bank design problem as an unconstrained weighted least squares problem with respect to the coefficients of the lattice structure. The proposed iterative algorithm optimizes the lattice coefficients and provides flexible control of the filters' stopband ripple profiles. Typically only a few iterations of the algorithm are needed to obtain an optimal solution in the weighted minimax sense. We include a set of practical design rules for use with our algorithm. These rules allow very good estimation of important filter bank characteristics such as the filter length and the number of signed digits for quantization of the lattice coefficients into canonic signed digit representation to meet a given set of PR-QMF bank specifications. © 1999 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/78.806074
dc.sourceScopus
dc.subjectCanonic signed digit representation
dc.subjectLattice structure
dc.subjectMultirate perfect reconstruction filter banks
dc.subjectWeighted least squares design technique
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/78.806074
dc.description.sourcetitleIEEE Transactions on Signal Processing
dc.description.volume47
dc.description.issue12
dc.description.page3303-3314
dc.description.codenITPRE
dc.identifier.isiut000083991800010
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