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Resampling in Particle Filtering - Comparison

dc.contributor.authorKozierski, Piotr
dc.contributor.authorLis, Marcin
dc.contributor.authorZiętkiewicz, Joanna
dc.date.accessioned2015-07-15T09:08:26Z
dc.date.available2015-07-15T09:08:26Z
dc.date.issued2013
dc.identifier.citationPiotr Kozierski, Marcin Lis, Joanna Ziętkiewicz: Resampling in Particle Filtering – Comparison. Studia z Automatyki i Informatyki, Vol. 38, 2013, pp. 35-64.pl_PL
dc.identifier.issn0867-3977
dc.identifier.urihttps://depot.ceon.pl/handle/123456789/7186
dc.description.abstractThe article presents over 20 different types and variants of resampling methods. Pseudo-code has been added for a description of each method. Comparison of methods has been performed using simulations (1,000 repetitions for each set of parameters). Based on the simulation results, it has been verified that among the methods for one processor implementation, the best working methods are those of Systematic resampling, one version of Stratified resampling and Deterministic Systematic resampling. The latter method does not require drawing numbers with uniform distribution. Among resampling methods for parallel computing, best quality is characterized by two variants of stratified resampling.pl_PL
dc.description.sponsorshipPolitechnika Poznańskapl_PL
dc.language.isoenpl_PL
dc.publisherPoznańskie Towarzystwo Przyjaciół Naukpl_PL
dc.rightsDozwolony użytek
dc.subjectstate estimationpl_PL
dc.subjectparticle filterpl_PL
dc.subjectresamplingpl_PL
dc.titleResampling in Particle Filtering - Comparisonpl_PL
dc.typeinfo:eu-repo/semantics/articlepl_PL
dc.contributor.organizationPoznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineeringpl_PL
dc.contributor.organizationPoznan University of Technology, Faculty of Electrical Engineering, Institute of Electrical Engineering and Electronicspl_PL
dc.description.epersonPiotr Kozierski


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