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Communication Dans Un Congrès Année : 2012

Multicomponent Signal Denoising with SynchroSqueezing

Résumé

In this paper, we develop a new technique based on the synchrosqueezing method to denoise multicomponent signals. The approach proposed is based on a two step strategy: a mode detection step followed by a reconstruction one. The emphasis is put on the robustness of the detection step in a noisy context, a key issue in the implementation of the method. Numerical applications show the improvement in terms of multicomponent signal denoising brought about by the proposed method over the translation-invariant wavelet thresholding.
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Dates et versions

hal-00872534 , version 1 (13-10-2013)

Identifiants

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Sylvain Meignen, Thomas Oberlin, Steve Mclaughlin. Multicomponent Signal Denoising with SynchroSqueezing. SSP 2012 - IEEE Statistical Signal Processing Workshop, Aug 2012, Ann Arbor, MI, United States. pp.660-663, ⟨10.1109/SSP.2012.6319788⟩. ⟨hal-00872534⟩
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