| dc.contributor |
Corcuera Valverde, José Manuel |
|
| dc.creator |
Munuera Raga, Maria Cristina |
|
| dc.date |
2019-01-18T09:32:04Z |
|
| dc.date |
2019-01-18T09:32:04Z |
|
| dc.date |
2018-06-27 |
|
| dc.date.accessioned |
2024-12-16T10:27:12Z |
|
| dc.date.available |
2024-12-16T10:27:12Z |
|
| dc.identifier |
http://hdl.handle.net/2445/127417 |
|
| dc.identifier.uri |
http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/22062 |
|
| dc.description |
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: José Manuel Corcuera Valverde |
|
| dc.description |
[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. |
|
| dc.format |
66 p. |
|
| dc.format |
application/pdf |
|
| dc.language |
spa |
|
| dc.rights |
cc-by-nc-nd (c) Maria Cristina Munuera Raga, 2018 |
|
| dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
|
| dc.rights |
info:eu-repo/semantics/openAccess |
|
| dc.source |
Treballs Finals de Grau (TFG) - Matemàtiques |
|
| dc.subject |
Filtre de Kalman |
|
| dc.subject |
Sistemes de comunicació sense fil |
|
| dc.subject |
Sistema de posicionament global |
|
| dc.subject |
Finances |
|
| dc.subject |
Treballs de fi de grau |
|
| dc.subject |
Kalman filtering |
|
| dc.subject |
Wireless communication systems |
|
| dc.subject |
Global Positioning System |
|
| dc.subject |
Finance |
|
| dc.subject |
Bachelor's theses |
|
| dc.title |
Filtro de Kalman y sus aplicaciones |
|
| dc.type |
info:eu-repo/semantics/bachelorThesis |
|