El filtro de Kalman

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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.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.identifier.urihttps://hdl.handle.net/2445/150978
dc.language.isospaca
dc.rightscc-by-nc-nd (c) Vı́ctor Pelegrı́ Àlvarez, 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
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

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Treballs Finals de Grau (TFG) - Matemàtiques