Nonparametric Bayesian state estimation in nonlinear dynamic systems with α-stable measurement noise

In signal processing literature, noise’s source are often assumed to be Gaussian. However, in many fields the conventional Gaussian assumption is inadequate and leads to the loss of accuracy and/or resolution. This is particularly the case of applications operating at high frequency (60GHz) such as the internet of objects. In such context, underlying signals exhibit impulsive nature and do not hav