A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising

被引：147

作者：

Meignen, Sylvain ^{[1
]}

Oberlin, Thomas ^{[2
]}

McLaughlin, Stephen ^{[3
]}

机构：

[1] Univ Edinburgh, IDCOM Lab, Edinburgh EH8 9YL, Midlothian, Scotland

[2] Univ Grenoble, Jean Kuntzmann Lab, F-38100 Grenoble, France

[3] Heriot Watt Univ, Sch Engn & Phys Sci, Edinburgh EH14 4AS, Midlothian, Scotland

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2012年 / 60卷 / 11期

基金：

英国工程与自然科学研究理事会;

关键词：

Denoising; EMD; sampling; synchrosqueezing; time-frequency; wavelets; EMPIRICAL MODE DECOMPOSITION; HILBERT SPECTRUM; FREQUENCY;

D O I：

10.1109/TSP.2012.2212891

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：5787 / 5798

页数：12

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