The ASTRES Toolbox for Mode hxtraction of Non-Stationary Multicomponent Signals

被引：0

作者：

Fourer, Dominique ^{[1
]}

Harmouche, Jinane ^{[2
]}

Schmitt, Jeremy ^{[3
]}

Oberlin, Thomas ^{[4
]}

Meignen, Sylvain ^{[5
]}

Auger, Francois ^{[6
]}

Flandrin, Patrick ^{[7
]}

机构：

[1] IRCAM, Paris, France

[2] Univ Paris 11, SUPELEC, CNRS, Lab Signaux & Syst, Orsay, France

[3] ENS Lyon, Lab Phys, Lyon, France

[4] Univ Toulouse, Toulouse, France

[5] Univ Grenoble, Grenoble, France

[6] IUT St Nazaire, St Nazaire, France

[7] ENS Lyon, CNRS, Lyon, France

来源：

2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2017年

关键词：

TIME-FREQUENCY; REASSIGNMENT; TRANSFORM; REPRESENTATIONS; SPECTRUM;

D O I：

暂无

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 introduce the ASTRES' toolbox which otters a set of Matlab functions for non-stationary multi component signal processing. The main purposes of this proposal is to offer efficient tools for analysis, synthesis and transformation of any signal made of physically meaningful components (e.g. sinusoid, trend or noise). The proposed techniques contain some recent and new contributions, which are now unified and theoretically strengthened. They can provide efficient time-frequency or time-scale representations and they allow elementary components extraction. Usage and description of each method are then detailed and numerically illustrated.

引用

页码：1130 / 1134

页数：5

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