Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/54610
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dc.titleA novel genetic algorithm for the design of a signed power-of-two coefficient quadrature mirror filter lattice filter bank
dc.contributor.authorYu, Y.J.
dc.contributor.authorLim, Y.C.
dc.date.accessioned2014-06-16T09:32:55Z
dc.date.available2014-06-16T09:32:55Z
dc.date.issued2002-05
dc.identifier.citationYu, Y.J.,Lim, Y.C. (2002-05). A novel genetic algorithm for the design of a signed power-of-two coefficient quadrature mirror filter lattice filter bank. Circuits, Systems, and Signal Processing 21 (3) : 263-276. ScholarBank@NUS Repository.
dc.identifier.issn0278081X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54610
dc.description.abstractA novel genetic algorithm (GA) for the design of a canonical signed power-of-two (SPT) coefficient lattice structure quadrature mirror filter bank is presented in this paper. Genetic operations may render the SPT representation of a value noncanonical. In this paper, a new encoding scheme is introduced to encode the SPT values. In this new scheme, the canonical property of the SPT values is preserved under genetic operations. Additionally, two new features that drastically improve the performance of our GA are introduced. (1) An additional level of natural selection is introduced to simulate the effect of natural selection when sperm cells compete to fertilize an ovule; this dramatically improves the offspring survival rate. A conventional GA is analogous to intracytoplasmic sperm injection and has an extremely low offspring survival rate, resulting in very slow convergence. (2) The probability of mutation for each codon of a chromosome is weighted by the reciprocal of its effect. Because of these new features, the performance of our new GA outperforms conventional GAs.
dc.sourceScopus
dc.subjectCanonical signed power-of-two
dc.subjectGenetic algorithm
dc.subjectPerfect reconstruction
dc.subjectQuadrature mirror filter bank
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleCircuits, Systems, and Signal Processing
dc.description.volume21
dc.description.issue3
dc.description.page263-276
dc.description.codenCSSPE
dc.identifier.isiutNOT_IN_WOS
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