2 papers
stat.ML2026
Time-warping estimation via stationarity-based learning of the de-warped signal
Corentin Presvôts, Adrien Meynard
Time-warping estimation is a fundamental problem in signal processing with applications in bioacoustics, radar, and biomedical analysis. This paper introduces a Time-Warping Estima…
eess.SP2025
Reduced-Complexity Model Selection and Rate Allocation for Multiple-Model Electrical Signal Compression
Corentin Presvôts, Michel Kieffer, Thibault Prevost
This paper adapts a Multiple-Model Coding (MMC) approach for sampled electrical signal waveforms to satisfy reconstructed signal quality constraints. The baseline MMC approach cons…