← Search

Jérôme Idier

2 accepted papers

2021

A Partially Collapsed Gibbs Sampler for Unsupervised Nonnegative Sparse Signal Restoration

ICASSP 2021accepted

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…

Cited by 0SourceScholar
2020

A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection Rules

ICASSP 2020accepted

We propose a new greedy sparse approximation algorithm, called SLS for Single L1 Selection, that addresses a least squares optimization problem under a cardinality constraint. The specificity and increased efficiency of SLS originate from the atom selection step, based on exploiting ℓ <sub xmlns:mml…

Cited by 0SourceScholar