A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising
A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising
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DOI：
10.1109/tsp.2012.2212891
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发表时间：
2012-11-01
影响因子：
5.4
通讯作者：
McLaughlin, Stephen
中科院分区：
文献类型：
--
作者：
Meignen, Sylvain;Oberlin, Thomas;McLaughlin, Stephen
在本文中，我们解决的问题的检索的组件从多分量信号使用的想法从同步压缩框架。重点是小波的选择，我们提出了一种新的算法的基础上，首先检测的组件，其次是他们的重建。仿真结果表明，所提出的方法相比，经验模式分解和其他相关方法的模式混合。最后，我们通过研究所提出的技术采样的灵敏度和信号去噪的应用程序的文件。
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.