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A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval

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.
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https://hal.archives-ouvertes.fr/hal-03259013
Contributor : Dominique Fourer Connect in order to contact the contributor
Submitted on : Saturday, June 12, 2021 - 9:27:27 PM
Last modification on : Wednesday, July 7, 2021 - 3:39:45 AM
Long-term archiving on: : Monday, September 13, 2021 - 6:11:44 PM

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  • HAL Id : hal-03259013, version 1

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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. ⟨hal-03259013⟩

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