Université Paris-Saclay (Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette - France)
2Télécom Paris (19 Place Marguerite Perey 91120 Palaiseau - France)
Abstract : This paper introduces a novel approach for extracting the elementary components present in an observed nonstationary mixture signal. Our technique based on a pseudo-Bayesian approach operates in the time-frequency plane and sequentially estimates the ridge of each component that is required for mode extraction. We compare our results with those obtained with the state-of-the-art Brevdo method which has shown its efficiency for disentangling multicomponent noisy signals. Our results reveal an improvement of the reconstruction performance when compared to the state of the art.
https://hal.archives-ouvertes.fr/hal-03259013 Contributor : Dominique FourerConnect in order to contact the contributor Submitted on : Saturday, June 12, 2021 - 9:27:27 PM Last modification on : Saturday, May 14, 2022 - 3:32:34 AM Long-term archiving on: : Monday, September 13, 2021 - 6:11:44 PM
Quentin Legros, Dominique Fourer. A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval. 29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.1925--1929. ⟨hal-03259013⟩