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dc.creatorGutiérrez-Gutiérrez, J. (Jesús)-
dc.creatorInsausti-Sarasola, X. (Xabier)-
dc.creatorZárraga-Rodríguez, M. (Marta de)-
dc.date.accessioned2023-01-31T10:21:57Z-
dc.date.available2023-01-31T10:21:57Z-
dc.date.issued2020-
dc.identifier.citationGutiérrez-Gutiérrez, J. (Jesús); Insausti-Sarasola, X. (Xabier); Zárraga-Rodríguez, M. (Marta). "Applications of the periodogram method for perturbed block toeplitz satrices in statistical signal processing". Mathematics. 8 (4), 2020, 582es
dc.identifier.issn2227-7390-
dc.identifier.urihttps://hdl.handle.net/10171/65220-
dc.description.abstractIn this paper, we combine the periodogram method for perturbed block Toeplitz matrices with the Cholesky decomposition to give a parameter estimation method for any perturbed vector autoregressive (VAR) or vector moving average (VMA) process, when we only know a perturbed version of the sequence of correlation matrices of the process. In order to combine the periodogram method for perturbed block Toeplitz matrices with the Cholesky decomposition, we first need to generalize a known result on the Cholesky decomposition of Toeplitz matrices to perturbed block Toeplitz matrices.es_ES
dc.description.sponsorshipThis work was supported in part by the Basque Government through the research project “Advanced distributed control for safety and energy efficiency of air transport (CODISAVA)” (KK-2018/00082).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectParameter estimationes_ES
dc.subjectPeriodogram method for perturbed block Toeplitz matriceses_ES
dc.subjectThe Cholesky decompositiones_ES
dc.subjectVector autoregressive (VAR) processeses_ES
dc.subjectVector moving average (VMA) processeses_ES
dc.titleApplications of the periodogram method for perturbed block toeplitz satrices in statistical signal processinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis article is an open access article distributed under the terms and conditions of the Creative Commons Attributiones_ES
dc.identifier.doi10.3390/math8040582-
dadun.citation.number4es_ES
dadun.citation.publicationNameMathematicses_ES
dadun.citation.startingPage582es_ES
dadun.citation.volume8es_ES

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