activity
20132019
collaborators

5 papers

math.ST2019

Double Bayesian Smoothing as Message Passing

Pasquale Di Viesti, Giorgio M. Vitetta, Emilio Sirignano

Recently, a novel method for developing filtering algorithms, based on the interconnection of two Bayesian filters and called double Bayesian filtering, has been proposed. In this…

math.ST2019

Multiple Bayesian Filtering as Message Passing

Giorgio M. Vitetta, Pasquale Di Viesti, Emilio Sirignano +1

In this manuscript, a general method for deriving filtering algorithms that involve a network of interconnected Bayesian filters is proposed. This method is based on the idea that…

stat.CO2019

A New Smoothing Technique based on the Parallel Concatenation of Forward/Backward Bayesian Filters: Turbo Smoothing

Giorgio M. Vitetta, Pasquale Di Viesti, Emilio Sirignano

Recently, a novel method for developing filtering algorithms, based on the parallel concatenation of Bayesian filters and called turbo filtering, has been proposed. In this manuscr…

stat.CO2017

Rao-Blackwellized Particle Smoothing as Message Passing

Giorgio M. Vitetta, Emilio Sirignano, Francesco Montorsi

In this manuscript the fixed-lag smoothing problem for conditionally linear Gaussian state-space models is investigated from a factor graph perspective. More specifically, after fo…

cs.IT2013

On the Performance Limits of Map-Aware Localization

Francesco Montorsi, Santiago Mazuelas, Giorgio M. Vitetta +1

Establishing bounds on the accuracy achievable by localization techniques represents a fundamental technical issue. Bounds on localization accuracy have been derived for cases in w…