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Conference Paper: Digital IIR filter design for communication systems by discrete-time vector fitting

TitleDigital IIR filter design for communication systems by discrete-time vector fitting
Authors
Lei, CUWong, N
KeywordsComplex filter
Discrete-time vector fitting
Filter design
IIR filter
MIMO filter
Issue Date2009
Citation
Dsp 2009: 16Th International Conference On Digital Signal Processing, Proceedings, 2009 How to Cite?
DOI: http://dx.doi.org/10.1109/ICDSP.2009.5201213
AbstractA recent digital system identification technique, called discretetime vector fitting (VFz), is extended to two communication system filter design problems. The first one is the complex infinite-impulse-response (IIR) filter design. The second one is the common-denominator MIMO filter design. In the second problem, a combination of VFz and QR decomposition is proposed to reduce the computational complexity. Robustness in finite-precision arithmetic is imposed in both problems via a pole radius constraint. Numerical examples confirm that VFz exhibits fast convergence and produces highly accurate approximants. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/98898
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLei, CUen_HK
dc.contributor.authorWong, Nen_HK
dc.date.accessioned2010-09-25T18:06:58Z-
dc.date.available2010-09-25T18:06:58Z-
dc.date.issued2009en_HK
dc.identifier.citationDsp 2009: 16Th International Conference On Digital Signal Processing, Proceedings, 2009en_HK
dc.identifier.urihttp://hdl.handle.net/10722/98898-
dc.description.abstractA recent digital system identification technique, called discretetime vector fitting (VFz), is extended to two communication system filter design problems. The first one is the complex infinite-impulse-response (IIR) filter design. The second one is the common-denominator MIMO filter design. In the second problem, a combination of VFz and QR decomposition is proposed to reduce the computational complexity. Robustness in finite-precision arithmetic is imposed in both problems via a pole radius constraint. Numerical examples confirm that VFz exhibits fast convergence and produces highly accurate approximants. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofDSP 2009: 16th International Conference on Digital Signal Processing, Proceedingsen_HK
dc.subjectComplex filteren_HK
dc.subjectDiscrete-time vector fittingen_HK
dc.subjectFilter designen_HK
dc.subjectIIR filteren_HK
dc.subjectMIMO filteren_HK
dc.titleDigital IIR filter design for communication systems by discrete-time vector fittingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, N:nwong@eee.hku.hken_HK
dc.identifier.authorityWong, N=rp00190en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICDSP.2009.5201213en_HK
dc.identifier.scopuseid_2-s2.0-70449558492en_HK
dc.identifier.hkuros155078en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70449558492&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.scopusauthoridLei, CU=18134021100en_HK
dc.identifier.scopusauthoridWong, N=35235551600en_HK

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