Corcuera Valverde, José ManuelMunuera Raga, Maria Cristina2019-01-182019-01-182018-06-27https://hdl.handle.net/2445/127417Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: José Manuel Corcuera Valverde[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.66 p.application/pdfspacc-by-nc-nd (c) Maria Cristina Munuera Raga, 2018http://creativecommons.org/licenses/by-nc-nd/3.0/es/Filtre de KalmanTreballs de fi de grauSistemes de comunicació sense filSistema de posicionament globalFinancesKalman filteringBachelor's thesesWireless communication systemsGlobal Positioning SystemFinanceFiltro de Kalman y sus aplicacionesinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess