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Article: Model-based multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systems

TitleModel-based multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systems
Authors
KeywordsKalman filter
Multirate state-space model
Perfect reconstruction filter bank
Issue Date1998
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe
Citation
Optical Engineering, 1998, v. 37 n. 8, p. 2376-2385 How to Cite?
AbstractConventional synthesis filters in subband systems lose their optimality when additive noise (due, for example, to signal quantization) disturbs the subband components. The multichannel representation of subband signals is combined with the statistical model of input signal to derive the multirate state-space model for the filter bank system with additive subband noises. Thus the signal reconstruction problem in subband systems can be formulated as the process of optimal state estimation in the equivalent multirate state-space model. Incorporated with the vector dynamical model, a 2-D multirate state-space model suitable for 2-D Kalman filtering is developed. The performance of the proposed 2-D multirate Kalman filter can be further improved through adaptive segmentation of the object plane. The object plane is partitioned into disjoint regions based on their spatial activity, and different vector dynamical models are used to characterize the nonstationary object-plane distributions. Finally, computer simulations with the proposed 2-D multirate Kalman filter give favorable results. ©1998 Society of Photo-Optical instrumentation Engineers.
Persistent Identifierhttp://hdl.handle.net/10722/42383
ISSN
2015 Impact Factor: 0.984
2015 SCImago Journal Rankings: 0.485
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNi, JQen_HK
dc.contributor.authorHo, KLen_HK
dc.contributor.authorTse, KWen_HK
dc.date.accessioned2007-01-29T08:48:31Z-
dc.date.available2007-01-29T08:48:31Z-
dc.date.issued1998en_HK
dc.identifier.citationOptical Engineering, 1998, v. 37 n. 8, p. 2376-2385en_HK
dc.identifier.issn0091-3286en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42383-
dc.description.abstractConventional synthesis filters in subband systems lose their optimality when additive noise (due, for example, to signal quantization) disturbs the subband components. The multichannel representation of subband signals is combined with the statistical model of input signal to derive the multirate state-space model for the filter bank system with additive subband noises. Thus the signal reconstruction problem in subband systems can be formulated as the process of optimal state estimation in the equivalent multirate state-space model. Incorporated with the vector dynamical model, a 2-D multirate state-space model suitable for 2-D Kalman filtering is developed. The performance of the proposed 2-D multirate Kalman filter can be further improved through adaptive segmentation of the object plane. The object plane is partitioned into disjoint regions based on their spatial activity, and different vector dynamical models are used to characterize the nonstationary object-plane distributions. Finally, computer simulations with the proposed 2-D multirate Kalman filter give favorable results. ©1998 Society of Photo-Optical instrumentation Engineers.en_HK
dc.format.extent313455 bytes-
dc.format.extent25600 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oeen_HK
dc.relation.ispartofOptical Engineeringen_HK
dc.rightsCopyright 1998 Society of Photo-Optical Instrumentation Engineers. This paper was published in Optical Engineering and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectKalman filteren_HK
dc.subjectMultirate state-space modelen_HK
dc.subjectPerfect reconstruction filter banken_HK
dc.titleModel-based multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0091-3286&volume=37&issue=8&spage=2376&epage=2386&date=1998&atitle=Model-based+multirate+Kalman+filtering+approach+for+optimal+two-dimensional+signal+reconstruction+from+noisy+subband+systemsen_HK
dc.identifier.emailHo, KL: klho@eee.hku.hken_HK
dc.identifier.emailTse, KW: kwtse@eee.hku.hken_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.identifier.authorityTse, KW=rp00180en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/1.601758en_HK
dc.identifier.scopuseid_2-s2.0-1542420273en_HK
dc.identifier.hkuros44479-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-1542420273&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume37en_HK
dc.identifier.issue8en_HK
dc.identifier.spage2376en_HK
dc.identifier.epage2385en_HK
dc.identifier.isiWOS:000075578100028-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNi, JQ=7201636714en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK

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