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Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2012

A New Algorithm fo Multicomponent Signals Analysis based on Synchrosqueezing: With an Application to Signal Sampling and Denoising

Résumé

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.
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hal-00864352 , version 1 (21-09-2013)

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Sylvain Meignen, Thomas Oberlin, Steve Mclaughlin. A New Algorithm fo Multicomponent Signals Analysis based on Synchrosqueezing: With an Application to Signal Sampling and Denoising. IEEE Transactions on Signal Processing, 2012, 60 (11), pp.5787-5798. ⟨10.1109/TSP.2012.2212891⟩. ⟨hal-00864352⟩
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