• DocumentCode
    3541277
  • Title

    Multicomponent signal denoising with synchrosqueezing

  • Author

    Meignen, S. ; Oberlin, T. ; McLaughlin, S.

  • Author_Institution
    IDCOM Lab., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    660
  • Lastpage
    663
  • Abstract
    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.
  • Keywords
    numerical analysis; signal denoising; detection step; mode detection; multicomponent signal denoising; numerical applications; synchrosqueezing method; translation-invariant wavelet thresholding; Context; Noise measurement; Noise reduction; Signal to noise ratio; Time frequency analysis; Wavelet transforms; Denoising; Synchrosqueezing; Time-Frequency; Wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319788
  • Filename
    6319788