A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval
Résumé
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.
Origine | Fichiers produits par l'(les) auteur(s) |
---|