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Conference Paper: Novel 2D linear-phase IIR filter design and application in noise removal
Title | Novel 2D linear-phase IIR filter design and application in noise removal |
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Authors | |
Keywords | Vector fitting Digital system identification ID IIR filter Image processing |
Issue Date | 2007 |
Citation | The 2007 International Multi-Conference of Engineers and Computer Scientists (IMECS 2007), Hong Kong, 21-23 March 2007. In Lecture Notes in Engineering and Computer Science, 2007, v. 2, p. 1793-1796 How to Cite? |
Abstract | We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters with less hardware resource. A 2D linear-phase FIR filter prototype is first designed using semidefinite programming (SDP). The prototype filter is then decomposed into modular structures via Schur decomposition method (SDM). Each section is reduced into IIR structures using a novel digital system identification technique called the Discrete-Time Vector Fitting (VFz). Examples with image processing application shows the algorithm exhibits fast convergence and produces low hardware cost and accurate filters. |
Persistent Identifier | http://hdl.handle.net/10722/198891 |
ISSN | 2020 SCImago Journal Rankings: 0.117 |
DC Field | Value | Language |
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dc.contributor.author | Cheung, Chungman | - |
dc.contributor.author | Lei, Chi-Un | - |
dc.contributor.author | Wong, Ngai | - |
dc.date.accessioned | 2014-07-17T03:52:27Z | - |
dc.date.available | 2014-07-17T03:52:27Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | The 2007 International Multi-Conference of Engineers and Computer Scientists (IMECS 2007), Hong Kong, 21-23 March 2007. In Lecture Notes in Engineering and Computer Science, 2007, v. 2, p. 1793-1796 | - |
dc.identifier.issn | 2078-0958 | - |
dc.identifier.uri | http://hdl.handle.net/10722/198891 | - |
dc.description.abstract | We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters with less hardware resource. A 2D linear-phase FIR filter prototype is first designed using semidefinite programming (SDP). The prototype filter is then decomposed into modular structures via Schur decomposition method (SDM). Each section is reduced into IIR structures using a novel digital system identification technique called the Discrete-Time Vector Fitting (VFz). Examples with image processing application shows the algorithm exhibits fast convergence and produces low hardware cost and accurate filters. | - |
dc.language | eng | - |
dc.relation.ispartof | Lecture Notes in Engineering and Computer Science | - |
dc.subject | Vector fitting | - |
dc.subject | Digital system identification | - |
dc.subject | ID IIR filter | - |
dc.subject | Image processing | - |
dc.title | Novel 2D linear-phase IIR filter design and application in noise removal | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-84888368609 | - |
dc.identifier.volume | 2 | - |
dc.identifier.spage | 1793 | - |
dc.identifier.epage | 1796 | - |
dc.identifier.issnl | 2078-0958 | - |