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dc.contributor.authorTruong, Lan
dc.date.accessioned2021-11-03T09:30:21Z
dc.date.available2021-11-03T09:30:21Z
dc.date.issued2021
dc.identifier.isbn9781538682098
dc.identifier.issn2157-8095
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/330229
dc.description.abstractWe estimate the minimum mean square error (MMSE) of the linear model under hidden Markov priors. Our estimates are based on the replica method in statistical physics. We show that under the MMSE estimator, the linear model with hidden Markov sources is decoupled into single-input AWGN channels with state information available at both encoder and decoder where the state distribution follows the left Perron-Frobenius eigenvector with unit Manhattan norm of the stochastic matrix of Markov chains.
dc.publisherIEEE
dc.rightsAll rights reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleLinear Models with Hidden Markov Sources via Replica Method
dc.typeConference Object
prism.endingPage401
prism.publicationDate2021
prism.publicationNameIEEE International Symposium on Information Theory - Proceedings
prism.startingPage396
prism.volume2021-July
dc.identifier.doi10.17863/CAM.77670
rioxxterms.versionofrecord10.1109/ISIT45174.2021.9517952
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-07-12
dc.contributor.orcidTruong, Lan [0000-0002-7756-3464]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.conference-name2021 IEEE International Symposium on Information Theory (ISIT)
pubs.conference-start-date2021-07-12
cam.orpheus.successMon Nov 08 07:30:21 GMT 2021 - Embargo updated
pubs.conference-finish-date2021-07-20
rioxxterms.freetoread.startdate2022-07-12


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