Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00034-005-2502-8
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dc.titleHybrid genetic algorithm for the design of modified frequency-response masking filters in a discrete space
dc.contributor.authorCen, L.
dc.contributor.authorLian, Y.
dc.date.accessioned2014-06-17T02:52:11Z
dc.date.available2014-06-17T02:52:11Z
dc.date.issued2006-04
dc.identifier.citationCen, L., Lian, Y. (2006-04). Hybrid genetic algorithm for the design of modified frequency-response masking filters in a discrete space. Circuits, Systems, and Signal Processing 25 (2) : 153-174. ScholarBank@NUS Repository. https://doi.org/10.1007/s00034-005-2502-8
dc.identifier.issn0278081X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56228
dc.description.abstractThis paper presents the design of high-speed, arbitrarybandwidth sharp finite impulse response filters with signed powers-of-two coefficients based on a modified frequency-response masking (FRM) structure. A novel hybrid genetic algorithm (HGA) is proposed to jointly optimize all subfilters in a discrete space. The proposed HGA introduces the simulated annealing technique into the genetic algorithm (GA) optimization process and effectively prevents the GA from prematurely converging. It is shown, by means of examples, that FRM filters designed by the HGA achieve a significant reductionin the number of bits. © Birkhauser Boston 2006.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00034-005-2502-8
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/s00034-005-2502-8
dc.description.sourcetitleCircuits, Systems, and Signal Processing
dc.description.volume25
dc.description.issue2
dc.description.page153-174
dc.description.codenCSSPE
dc.identifier.isiut000237441600003
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