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20192026
most citedNonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data

14 citations · 47 across the 12 of their papers we have counts for

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eess.SP2025

Joint Reproduction Number and Spatial Connectivity Structure Estimation via Graph Sparsity-Promoting Penalized Functional

Etienne Lasalle, Barbara Pascal

During an epidemic outbreak, decision makers crucially need accurate and robust tools to monitor the pathogen propagation. The effective reproduction number, defined as the expecte…

eess.SP2024

The Analytic Stockwell Transform and its Zeros

Ali Moukadem, Barbara Pascal, Jean-Baptiste Courbot +1

A recent original line of research in time--frequency analysis has shifted the interest in energy maxima toward zeros. Initially motivated by the intriguing uniform spread of the z…

eess.SP2024

Point Processes and spatial statistics in time-frequency analysis

Barbara Pascal, Rémi Bardenet

A finite-energy signal is represented by a square-integrable, complex-valued function of a real variable , interpreted as time. Similarly, a noisy signal is repr…

eess.SP2022★ 12 cited

A covariant, discrete time-frequency representation tailored for zero-based signal detection

Barbara Pascal, Rémi Bardenet

Recent work in time-frequency analysis proposed to switch the focus from the maxima of the spectrogram toward its zeros, which, for signals corrupted by Gaussian noise, form a rand…

eess.SP2021★ 14 cited

Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data

Barbara Pascal, Patrice Abry, Nelly Pustelnik +3

Daily pandemic surveillance, often achieved through the estimation of the reproduction number, constitutes a critical challenge for national health authorities to design countermea…