Our contributions to this research field concerns the development of novel Bayesian filtering and smoothing methods. All our methods are derived message passing algorithms over factor graphs.
Publications
- G. M. Vitetta, P. D. Viesti, E. Sirignano and F. Montorsi, “Multiple Bayesian Filtering as Message Passing,” in IEEE Transactions on Signal Processing, vol. 68, pp. 1002-1020, 2020, doi: 10.1109/TSP.2020.2965296.
- P. Di Viesti, G. M. Vitetta and E. Sirignano, “Double Bayesian Smoothing as Message Passing,” in IEEE Transactions on Signal Processing, vol. 67, no. 21, pp. 5495-5510, 1 Nov.1, 2019, doi: 10.1109/TSP.2019.2941064.
- G. M. Vitetta, E. Sirignano, P. D. Viesti, F. Montorsi and M. Sola, “Marginalized Particle Filtering and Related Filtering Techniques as Message Passing,” in IEEE Transactions on Signal Processing, vol. 67, no. 6, pp. 1522-1536, 15 March15, 2019, doi: 10.1109/TSP.2019.2893868.
- G. M. Vitetta, E. Sirignano and F. Montorsi, “Particle Smoothing for Conditionally Linear Gaussian Models as Message Passing Over Factor Graphs,” in IEEE Transactions on Signal Processing, vol. 66, no. 14, pp. 3633-3648, 1 July15, 2018, doi: 10.1109/TSP.2018.2835379.