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Conference Paper: Novel 2D linear-phase IIR filter design and application in noise removal

TitleNovel 2D linear-phase IIR filter design and application in noise removal
Authors
Cheung, ChungmanLei, Chi-UnWong, Ngai
KeywordsVector fitting
Digital system identification
ID IIR filter
Image processing
Issue Date2007
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?
AbstractWe 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 Identifierhttp://hdl.handle.net/10722/198891
ISSN
2078-0958
2020 SCImago Journal Rankings: 0.117

 

DC FieldValueLanguage
dc.contributor.authorCheung, Chungman-
dc.contributor.authorLei, Chi-Un-
dc.contributor.authorWong, Ngai-
dc.date.accessioned2014-07-17T03:52:27Z-
dc.date.available2014-07-17T03:52:27Z-
dc.date.issued2007-
dc.identifier.citationThe 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.issn2078-0958-
dc.identifier.urihttp://hdl.handle.net/10722/198891-
dc.description.abstractWe 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.languageeng-
dc.relation.ispartofLecture Notes in Engineering and Computer Science-
dc.subjectVector fitting-
dc.subjectDigital system identification-
dc.subjectID IIR filter-
dc.subjectImage processing-
dc.titleNovel 2D linear-phase IIR filter design and application in noise removal-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84888368609-
dc.identifier.volume2-
dc.identifier.spage1793-
dc.identifier.epage1796-
dc.identifier.issnl2078-0958-

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