2 papers
eess.IV2026
Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging
Victor Sechaud, Laurent Jacques, Patrice Abry +1
Learning based methods are now ubiquitous for solving inverse problems, but their deployment in real-world applications is often hindered by the lack of ground truth references for…
eess.SP2025
Multifractal analysis based on the weak scaling exponent and applications to MEG recordings in neuroscience
Patrice Abry, Phipippe Ciuciu, Merlin Dumeur +2
We develop the mathematical properties of a multifractal analysis of data based on the weak scaling exponent. The advantage of this analysis is that it does not require any a prior…