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Bayesian filtering for nonlinear state-space models in symmetric alpha-stable measurment noise

Autor
Vila, J.; Fernandez, C.; Closas, P.; Fernandez, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
19th European Signal Processing Conference
Any de l'edició
2011
Data de presentació
2011-10-02
Llibre d'actes
EURASIP 2011
Pàgina inicial
674
Pàgina final
678
Repositori
http://hdl.handle.net/2117/13816 Obrir en finestra nova
URL
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569427609.pdf Obrir en finestra nova
Resum
Bayesian ltering appears in many signal processing problems,reason why it attracted the attention of many researchers to develop efficient algorithms, yet computationally a ordable. In many real systems, it is appropriate to consider α-stable noise distributions to model possible outliers or impulsive behavior in the measurements. In this paper, we consider a nonlinear state-space model with Gaussian process noise and symmetric α-stable measurement noise. To obtain a robust estimation framewo...
Citació
Vila, J. [et al.]. Bayesian filtering for nonlinear state-space models in symmetric alpha-stable measurment noise. A: European Signal Processing Conference. "2011 EUSIPCO - 19th European Signal Processing Conferenc". 2011, p. 674-678.
Grup de recerca
SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions

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