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dc.creatorZárraga-Rodríguez, M. (Marta)-
dc.creatorGutiérrez-Gutiérrez, J. (Jesús)-
dc.creatorInsausti-Sarasola, X. (Xabier)-
dc.date.accessioned2021-08-30T16:14:45Z-
dc.date.available2021-08-30T16:14:45Z-
dc.date.issued2019-
dc.identifier.citationZárraga-Rodríguez, M. (Marta); Gutiérrez-Gutiérrez, J. (Jesús); Insausti-Sarasola, X.(Xabier). "A Low-Complexity and Asymptotically Optimal Coding Strategy for Gaussian Vector Sources". Entropy. 21(10) (965), 2019, 1 - 22es
dc.identifier.issn1099-4300-
dc.identifier.otherPMID: 33279923-
dc.identifier.urihttps://hdl.handle.net/10171/61894-
dc.description.abstractIn this paper, we present a low-complexity coding strategy to encode (compress) finite-length data blocks of Gaussian vector sources. We show that for large enough data blocks of a Gaussian asymptotically wide sense stationary (AWSS) vector source, the rate of the coding strategy tends to the lowest possible rate. Besides being a low-complexity strategy it does not require the knowledge of the correlation matrix of such data blocks. We also show that this coding strategy is appropriate to encode the most relevant Gaussian vector sources, namely, wide sense stationary (WSS), moving average (MA), autoregressive (AR), and ARMA vector sources.es_ES
dc.description.sponsorshipThis work was supported in part by the Spanish Ministry of Economy and Competitiveness through the CARMEN project (TEC2016-75067-C4-3-R).es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectMaterias Investigacion::Ingeniería::Generalidadeses_ES
dc.subjectSource codinges_ES
dc.subjectRate distortion function (RDF)es_ES
dc.subjectGaussian vectores_ES
dc.subjectAsymptotically wide sense stationary (AWSS) vector sourcees_ES
dc.subjectBlock discrete Fourier transform (DFT)es_ES
dc.titleA Low-Complexity and Asymptotically Optimal Coding Strategy for Gaussian Vector Sourceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversion10.3390/e21100965es_ES
dc.description.noteThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.identifier.doi10.3390/e21100965-
dadun.citation.endingPage22es_ES
dadun.citation.number965es_ES
dadun.citation.publicationNameEntropyes_ES
dadun.citation.startingPage1es_ES
dadun.citation.volume21(10)es_ES

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