Multicomponent signal denoising with synchrosqueezing

S. Meignen*, T. Oberlin, Stephen McLaughlin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2012 IEEE Statistical Signal Processing Workshop (SSP)
Number of pages4
ISBN (Print)9781467301831
Publication statusPublished - 4 Oct 2012
Event2012 IEEE Statistical Signal Processing Workshop - Ann Arbor, MI, United States
Duration: 5 Aug 20128 Aug 2012


Conference2012 IEEE Statistical Signal Processing Workshop
Abbreviated titleSSP 2012
Country/TerritoryUnited States
CityAnn Arbor, MI


  • Denoising
  • Synchrosqueezing
  • Time-Frequency
  • Wavelets

ASJC Scopus subject areas

  • Signal Processing


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