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 :
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