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Article: A new hybrid descent method with application to the optimal design of finite precision FIR filters
| Title | A new hybrid descent method with application to the optimal design of finite precision FIR filters | ||||||
|---|---|---|---|---|---|---|---|
| Authors | |||||||
| Keywords | Finite Precision Fir Filter Design Hybrid Descent Method Simulating Annealing | ||||||
| Issue Date | 2010 | ||||||
| Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/10556788.asp | ||||||
| Citation | Optimization Methods And Software, 2010, v. 25 n. 5, p. 725-735 How to Cite? | ||||||
| Abstract | In this paper, the problem of the optimal design of discrete coefficient FIR filters is considered. A novel hybrid descent method, consisting of a simulated annealing algorithm and a gradient-based method, is proposed. The simulated annealing algorithm operates on the space of orthogonal matrices and is used to locate descent points for previously converged local minima. The gradient-based method is derived from converting the discrete problem to a continuous problem via the Stiefel manifold, where convergence can be guaranteed. To demonstrate the effectiveness of the proposed hybrid descent method, several numerical examples show that better discrete filter designs can be sought via this hybrid descent method. © 2010 Taylor & Francis. | ||||||
| Persistent Identifier | http://hdl.handle.net/10722/155927 | ||||||
| ISSN | 2021 Impact Factor: 1.832 2020 SCImago Journal Rankings: 0.789 | ||||||
| ISI Accession Number ID |
Funding Information: This research was supported by the Research Grants Council of HKSAR (PolyU 7191/06E) and the Research Committee of the Hong Kong Polytechnic University. We would like to thank the anonymous referees for their constructive comments. | ||||||
| References |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yiu, KFC | en_US |
| dc.contributor.author | Yan, WY | en_US |
| dc.contributor.author | Teo, KL | en_US |
| dc.contributor.author | Low, SY | en_US |
| dc.date.accessioned | 2012-08-08T08:38:27Z | - |
| dc.date.available | 2012-08-08T08:38:27Z | - |
| dc.date.issued | 2010 | en_US |
| dc.identifier.citation | Optimization Methods And Software, 2010, v. 25 n. 5, p. 725-735 | en_US |
| dc.identifier.issn | 1055-6788 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/155927 | - |
| dc.description.abstract | In this paper, the problem of the optimal design of discrete coefficient FIR filters is considered. A novel hybrid descent method, consisting of a simulated annealing algorithm and a gradient-based method, is proposed. The simulated annealing algorithm operates on the space of orthogonal matrices and is used to locate descent points for previously converged local minima. The gradient-based method is derived from converting the discrete problem to a continuous problem via the Stiefel manifold, where convergence can be guaranteed. To demonstrate the effectiveness of the proposed hybrid descent method, several numerical examples show that better discrete filter designs can be sought via this hybrid descent method. © 2010 Taylor & Francis. | 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/10556788.asp | en_US |
| dc.relation.ispartof | Optimization Methods and Software | en_US |
| dc.subject | Finite Precision | en_US |
| dc.subject | Fir Filter Design | en_US |
| dc.subject | Hybrid Descent Method | en_US |
| dc.subject | Simulating Annealing | en_US |
| dc.title | A new hybrid descent method with application to the optimal design of finite precision FIR filters | en_US |
| dc.type | Article | en_US |
| dc.identifier.email | Yiu, KFC:cedric@hkucc.hku.hk | en_US |
| dc.identifier.authority | Yiu, KFC=rp00206 | en_US |
| dc.description.nature | link_to_subscribed_fulltext | en_US |
| dc.identifier.doi | 10.1080/10556780903254104 | en_US |
| dc.identifier.scopus | eid_2-s2.0-77953503618 | en_US |
| dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77953503618&selection=ref&src=s&origin=recordpage | en_US |
| dc.identifier.volume | 25 | en_US |
| dc.identifier.issue | 5 | en_US |
| dc.identifier.spage | 725 | en_US |
| dc.identifier.epage | 735 | en_US |
| dc.identifier.isi | WOS:000278706700005 | - |
| dc.publisher.place | United Kingdom | en_US |
| dc.identifier.scopusauthorid | Yiu, KFC=24802813000 | en_US |
| dc.identifier.scopusauthorid | Yan, WY=7402221751 | en_US |
| dc.identifier.scopusauthorid | Teo, KL=35569785000 | en_US |
| dc.identifier.scopusauthorid | Low, SY=15061436400 | en_US |
| dc.identifier.issnl | 1026-7670 | - |