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Article: Minimum-order stable recursive filter design via the genetic algorithm approach
Title | Minimum-order stable recursive filter design via the genetic algorithm approach |
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Authors | |
Issue Date | 2001 |
Publisher | Taylor & 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? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/169677 |
ISSN | 2023 Impact Factor: 4.9 2023 SCImago Journal Rankings: 1.851 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, WQ | en_US |
dc.contributor.author | Dong, ZY | en_US |
dc.contributor.author | Zhang, CS | en_US |
dc.contributor.author | Hill, DJ | en_US |
dc.date.accessioned | 2012-10-25T04:54:08Z | - |
dc.date.available | 2012-10-25T04:54:08Z | - |
dc.date.issued | 2001 | en_US |
dc.identifier.citation | International Journal Of Systems Science, 2001, v. 32 n. 3, p. 401-408 | en_US |
dc.identifier.issn | 0020-7721 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169677 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207721.asp | en_US |
dc.relation.ispartof | International Journal of Systems Science | en_US |
dc.title | Minimum-order stable recursive filter design via the genetic algorithm approach | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hill, DJ: | en_US |
dc.identifier.authority | Hill, DJ=rp01669 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1080/002077201300029809 | en_US |
dc.identifier.scopus | eid_2-s2.0-0035296719 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0035296719&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 32 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.spage | 401 | en_US |
dc.identifier.epage | 408 | en_US |
dc.identifier.isi | WOS:000167708100014 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Liu, WQ=7407343628 | en_US |
dc.identifier.scopusauthorid | Dong, ZY=36763631000 | en_US |
dc.identifier.scopusauthorid | Zhang, CS=26431151400 | en_US |
dc.identifier.scopusauthorid | Hill, DJ=35398599500 | en_US |
dc.identifier.issnl | 0020-7721 | - |