In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution

In this paper, we focus on the general relay channel. We investigate the application of the estimate-and-forward (EAF) relaying scheme to different scenarios. Specifically, we study assignments of the auxiliary random variable that always satis

There are two main contributions in this paper. The first is to propose a joint random field (JRF) model that extends CRF by introducing auxiliary latent variables to characterize visual scene over time and enhance moving object detection in vide

In this paper, we propose a learning automatabased weighted cluster formation algorithm calledMCFA in which the mobility parameters of the hosts are assumed to be random variables with unknown distributions. In the proposed clustering algorit