A new algorithm for multicomponent signals analysis based on synchrosqueezing: with an application to signal sampling and denoising

Sylvain Meignen, T Oberlin, Steve McLaughlin

Research output: Contribution to journalArticlepeer-review

125 Citations (Scopus)

Abstract

In this paper, we address the problem of the retrieval of the components from a multicomponent signal using ideas from the synchrosqueezing framework. The emphasis is on the wavelet choice and we propose a novel algorithm based first on the detection of components followed by their reconstruction. Simulations illustrate how the proposed procedure compares with the empirical mode decomposition and other related methods in terms of mode-mixing. We conclude the paper by studying the sensitivity of the proposed technique to sampling and an application to signal denoising.
Original languageEnglish
Pages (from-to)5787-5798
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume60
Issue number11
DOIs
Publication statusPublished - Nov 2012

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