Mehdi Chahine Amrouche

A Partially Collapsed Gibbs Sampler for Unsupervised Nonnegative Sparse Signal Restoration

In this paper the problem of restoration of unsupervised nonnegative sparse signals is addressed in the Bayesian framework. We introduce a new probabilistic hierarchical prior, based on the Generalized Hyperbolic (GH) distribution, which explicitly accounts for sparsity. On the one hand, this new pr…