Filtro de Kalman y sus aplicaciones

[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.

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: José Manuel Corcuera Valverde

Country

Spain

Related Organizations

University of Barcelona
Spain

Keywords

Filtre de Kalman, Sistema de posicionament global, Bachelor's thesis, Sistemes de comunicació sense fil, Finances, Global Positioning System, Bachelor's theses, Treballs de fi de grau, Kalman filtering, Finance, Wireless communication systems

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