TY - JOUR
T1 - A new algorithm for multicomponent signals analysis based on synchrosqueezing
T2 - with an application to signal sampling and denoising
AU - Meignen, Sylvain
AU - Oberlin, T
AU - McLaughlin, Steve
PY - 2012/11
Y1 - 2012/11
N2 - 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.
AB - 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.
U2 - 10.1109/TSP.2012.2212891
DO - 10.1109/TSP.2012.2212891
M3 - Article
SN - 1053-587X
VL - 60
SP - 5787
EP - 5798
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 11
ER -