Estimation of Time Varying Autoregressive Symmetric Alpha Stable
In this work, we present a novel method for modeling time-varying  autoregressive impulsive signals driven by symmetric alpha stable distributions. The proposed method can be interpreted as a two-stage Gibbs sampler composed of a particle filter, which is capable of estimating the unknown time-varying autoregressive …