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memoria.pdf (1.87 MB)

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Bachelor thesis

Publication date

2018-06-27

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cc-by-nc-nd (c) Maria Cristina Munuera Raga, 2018
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/127417

Filtro de Kalman y sus aplicaciones

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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.

Description

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

Subject

Filtre de Kalman, Treballs de fi de grau, Sistemes de comunicació sense fil, Sistema de posicionament global, Finances

Subject (English)

Kalman filtering, Bachelor's theses, Wireless communication systems, Global Positioning System, Finance

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

MUNUERA RAGA, Maria Cristina. Filtro de Kalman y sus aplicaciones. [consulted: 14 of June of 2026]. Available at: https://hdl.handle.net/2445/127417

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