A Partially Collapsed Sampler for Unsupervised Nonnegative Spike Train Restoration

Mehdi Chahine Amrouche, Hervé Carfantan, Jérôme Idier

In this paper the problem of restoration of non-negative sparse signals is addressed in the Bayesian framework. We introduce a new probabilistic hierarchical prior, based on the Ge…