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Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering

contributor authorBattistelli, Giorgio
contributor authorChisci, L.
contributor authorFantacci, C.
date accessioned2020-03-12T23:56:54Z
date available2020-03-12T23:56:54Z
date issued2014
identifier issn1070-9908
identifier other6784395.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1129049?show=full
formatgeneral
languageEnglish
publisherIEEE
titleParallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering
typeJournal Paper
contenttypeMetadata Only
identifier padid8309341
subject keywordsiterative methods
subject keywordsnonlinear filters
subject keywordsprobability
subject keywordstarget tracking
subject keywordsconsensus iteration
subject keywordslikelihood consensus
subject keywordsnetworked nonlinear filtering
subject keywordsparallel consensus approach
subject keywordsprobability distribution
subject keywordssampling interval
subject keywordstarget tracking
subject keywordsweighting factor
subject keywordsBayes methods
subject keywordsFiltering
subject keywordsProbability density function
subject keywordsProbability distribution
subject keywordsSignal processing algorithms
subject keywordsState estimation
subject keywordsTarget tracking
subject keywordsConsensus
subject keywordsdistributed state estimation
subject keywordsnonlinear filtering
subject keywordssensor networks
identifier doi10.1109/LSP.2014.2316258
journal titleSignal Processing Letters, IEEE
journal volume21
journal issue7
filesize1075116
citations0


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