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
Link To Document