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dc.contributor.authorDalfó, Cristina
dc.contributor.authorFiol, Miguel Angel
dc.date.accessioned2019-06-19T10:44:37Z
dc.date.issued2019
dc.identifier.issn0166-218X
dc.identifier.urihttp://hdl.handle.net/10459.1/66466
dc.description.abstractWe present a new matrix-based approach to detect and correct gross errors in GPS geodetic control networks. The study is carried out by introducing a new matrix, whose entries are powers of a (real or complex) variable, which fully represents the network.
dc.description.sponsorshipThis research have been partially supported by the Catalan Research Council, AGAUR, under project 2017SGR1087. The first author has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 734922
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.dam.2019.04.009
dc.relation.ispartofDiscrete Applied Mathematics, 2019, In Press
dc.rightscc-by-nc-nd (c) Elsevier, 2019
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.subjectGPS control network
dc.subjectWeighted digraph
dc.subjectPolynomial adjacency matrix
dc.titleA new approach to gross error detection for GPS networks
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2019-06-19T10:44:37Z
dc.identifier.idgrec028672
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.identifier.doihttps://doi.org/10.1016/j.dam.2019.04.009
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/734922/EU/INPATH-TES
dc.date.embargoEndDate2021-05-29


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cc-by-nc-nd (c) Elsevier, 2019
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2019