2 papers
eess.SP2023
Sparse wavelet-based solutions for the M/EEG inverse problem
Samy Mokhtari, Jean-Michel Badier, Christian G. Bénar +1
This paper is concerned with variational and Bayesian approaches to neuro-electromagnetic inverse problems (EEG and MEG). The strong indeterminacy of these problems is tackled by i…
math.CA2023
A class of non linear adaptive time-frequency transforms
Pierre Warion, Bruno Torrésani
This paper introduces a couple of new time-frequency transforms, designed to adapt their scale to specific features of the analyzed function. Such an adaptation is implemented via…