Simulink implementation of belief propagation in normal factor graphs

A Simulink Library for rapid prototyping of belief network architectures using Forney-style Factor Graph is presented. Our approach allows to draw complex architectures in a fairly easy way giving to the user the high flexibility of Matlab-Simulink environment. In this framework the user can perform rapid prototyping because belief propagation is carried in a bi-directional data flow in the Simulink architecture. Results on learning a latent model for artificial characters recognition are presented.