This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Fa...
We consider the problem of channel estimation for amplify-andforward (AF) two-way relay networks (TWRNs). The majority of works on this problem develop pilot-based algorithms that...
Iterative decoding is considered in this paper from an optimization point of view. Starting from the optimal maximum likelihood decoding, a (tractable) approximate criterion is de...
We investigate in this paper the anchor selection problem with consideration of anchor location uncertainty, which arises naturally from error propagation problem in successive or...