Filtro de Kalman y sus aplicaciones

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dc.contributor.advisorCorcuera Valverde, José Manuel
dc.contributor.authorMunuera Raga, Maria Cristina
dc.date.accessioned2019-01-18T09:32:04Z
dc.date.available2019-01-18T09:32:04Z
dc.date.issued2018-06-27
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: José Manuel Corcuera Valverdeca
dc.description.abstract[en] Filtering problems concern the estimation of noise-interfered variables. The Kalman filter provides the linear Mean Least Squares estimation, combining the evolution of the variable with the observations obtained. Moreover, it is a recursive process, and consequently the storage of information is needed at all times. The main applications are found in a wide range of fields such as finance, wireless communications or GPS systems.ca
dc.format.extent66 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/127417
dc.language.isospaca
dc.rightscc-by-nc-nd (c) Maria Cristina Munuera Raga, 2018
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.classificationSistemes de comunicació sense filca
dc.subject.classificationSistema de posicionament globalca
dc.subject.classificationFinancesca
dc.subject.otherKalman filteringen
dc.subject.otherBachelor's theses
dc.subject.otherWireless communication systemsen
dc.subject.otherGlobal Positioning Systemen
dc.subject.otherFinanceen
dc.titleFiltro de Kalman y sus aplicacionesca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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