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Article: Minimum-order stable recursive filter design via the genetic algorithm approach

TitleMinimum-order stable recursive filter design via the genetic algorithm approach
Authors
Issue Date2001
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207721.asp
Citation
International Journal Of Systems Science, 2001, v. 32 n. 3, p. 401-408 How to Cite?
AbstractIn this paper, the minimum-order stable recursive filter design problem is proposed and investigated. This problem is playing an important role in pipeline implementations in signal processing. Here, the existence of a high-order stable recursive filter is proved theoretically, in which the upper bound for the highest order of stable filters is given. Then the minimum-order stable linear predictor is obtained via solving an optimization problem. In this paper, the popular genetic algorithm approach is adopted since it is a heuristic probabilistic optimization technique and has been widely used in engineering designs. Finally, an illustrative example is used to show the effectiveness of the proposed algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/169677
ISSN
2015 Impact Factor: 1.947
2015 SCImago Journal Rankings: 1.083
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiu, WQen_US
dc.contributor.authorDong, ZYen_US
dc.contributor.authorZhang, CSen_US
dc.contributor.authorHill, DJen_US
dc.date.accessioned2012-10-25T04:54:08Z-
dc.date.available2012-10-25T04:54:08Z-
dc.date.issued2001en_US
dc.identifier.citationInternational Journal Of Systems Science, 2001, v. 32 n. 3, p. 401-408en_US
dc.identifier.issn0020-7721en_US
dc.identifier.urihttp://hdl.handle.net/10722/169677-
dc.description.abstractIn this paper, the minimum-order stable recursive filter design problem is proposed and investigated. This problem is playing an important role in pipeline implementations in signal processing. Here, the existence of a high-order stable recursive filter is proved theoretically, in which the upper bound for the highest order of stable filters is given. Then the minimum-order stable linear predictor is obtained via solving an optimization problem. In this paper, the popular genetic algorithm approach is adopted since it is a heuristic probabilistic optimization technique and has been widely used in engineering designs. Finally, an illustrative example is used to show the effectiveness of the proposed algorithm.en_US
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207721.aspen_US
dc.relation.ispartofInternational Journal of Systems Scienceen_US
dc.titleMinimum-order stable recursive filter design via the genetic algorithm approachen_US
dc.typeArticleen_US
dc.identifier.emailHill, DJ:en_US
dc.identifier.authorityHill, DJ=rp01669en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/002077201300029809en_US
dc.identifier.scopuseid_2-s2.0-0035296719en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035296719&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume32en_US
dc.identifier.issue3en_US
dc.identifier.spage401en_US
dc.identifier.epage408en_US
dc.identifier.isiWOS:000167708100014-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLiu, WQ=7407343628en_US
dc.identifier.scopusauthoridDong, ZY=36763631000en_US
dc.identifier.scopusauthoridZhang, CS=26431151400en_US
dc.identifier.scopusauthoridHill, DJ=35398599500en_US

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