Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/150978
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dc.contributor.advisorCorcuera Valverde, José Manuel-
dc.contributor.authorPelegrí Àlvarez, Vı́ctor-
dc.date.accessioned2020-02-21T09:57:07Z-
dc.date.available2020-02-21T09:57:07Z-
dc.date.issued2019-06-20-
dc.identifier.urihttp://hdl.handle.net/2445/150978-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: José Manuel Corcuera Valverdeca
dc.description.abstract[en] In this work we will study the Kalman filter, highlighting its main equations and developing how they are. We will also deal with Extended Kalman Filter case analogously and Particle Filter case and a brief example for each one. Then we will see some more general considerations about its implementation and how we measure its performance applied to an example.ca
dc.format.extent49 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isospaca
dc.rightscc-by-nc-nd (c) Vı́ctor Pelegrı́ Àlvarez, 2019-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationFiltre de Kalmanca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationProcessos gaussiansca
dc.subject.classificationProcessos estocàsticsca
dc.subject.classificationEstadística matemàticaca
dc.subject.otherKalman filteringen
dc.subject.otherBachelor's theses-
dc.subject.otherGaussian processesen
dc.subject.otherStochastic processesen
dc.subject.otherMathematical statisticsen
dc.titleEl filtro de Kalmanca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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