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Conference Paper: A new method for designing constrained causal stable IIR variable digital filters

TitleA new method for designing constrained causal stable IIR variable digital filters
Authors
KeywordsCausal stable IIR
Second order programming
Variable digital filter
Issue Date2006
Citation
Ieee Asia-Pacific Conference On Circuits And Systems, Proceedings, Apccas, 2006, p. 65-68 How to Cite?
AbstractThis paper studies the design of causal stable Farrow-based IIR variable digital filters (VDFs), whose subfilters have a common denominator. This structure has the advantages of reduced implementation complexity and avoiding undesirable transient response when tuning the spectral parameter in the Farrow structure. The design of such IIR VDFs is based on a new model reduction technique which is able to incorporate prescribed flatness and peak error constraints to the IIR VDF under the second order cone programming framework. Design examples are given to demonstrate the effectiveness of the proposed approach. ©2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99778
References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorTsui, KMen_HK
dc.contributor.authorKwan, HKen_HK
dc.date.accessioned2010-09-25T18:43:50Z-
dc.date.available2010-09-25T18:43:50Z-
dc.date.issued2006en_HK
dc.identifier.citationIeee Asia-Pacific Conference On Circuits And Systems, Proceedings, Apccas, 2006, p. 65-68en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99778-
dc.description.abstractThis paper studies the design of causal stable Farrow-based IIR variable digital filters (VDFs), whose subfilters have a common denominator. This structure has the advantages of reduced implementation complexity and avoiding undesirable transient response when tuning the spectral parameter in the Farrow structure. The design of such IIR VDFs is based on a new model reduction technique which is able to incorporate prescribed flatness and peak error constraints to the IIR VDF under the second order cone programming framework. Design examples are given to demonstrate the effectiveness of the proposed approach. ©2006 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCASen_HK
dc.subjectCausal stable IIRen_HK
dc.subjectSecond order programmingen_HK
dc.subjectVariable digital filteren_HK
dc.titleA new method for designing constrained causal stable IIR variable digital filtersen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailTsui, KM:kmtsui@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityTsui, KM=rp00181en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/APCCAS.2006.342297en_HK
dc.identifier.scopuseid_2-s2.0-50249177718en_HK
dc.identifier.hkuros140431en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-50249177718&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage65en_HK
dc.identifier.epage68en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridTsui, KM=7101671591en_HK
dc.identifier.scopusauthoridKwan, HK=35491088700en_HK

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