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.
Original language | English |
---|---|
Title of host publication | 2012 IEEE Statistical Signal Processing Workshop (SSP) |
Publisher | IEEE |
Pages | 660-663 |
Number of pages | 4 |
ISBN (Print) | 9781467301831 |
DOIs | |
Publication status | Published - 4 Oct 2012 |
Event | 2012 IEEE Statistical Signal Processing Workshop - Ann Arbor, MI, United States Duration: 5 Aug 2012 → 8 Aug 2012 |
Conference
Conference | 2012 IEEE Statistical Signal Processing Workshop |
---|---|
Abbreviated title | SSP 2012 |
Country/Territory | United States |
City | Ann Arbor, MI |
Period | 5/08/12 → 8/08/12 |
Keywords
- Denoising
- Synchrosqueezing
- Time-Frequency
- Wavelets
ASJC Scopus subject areas
- Signal Processing