Empirical Mode Decomposition for vectorial bi-dimensional signals

Author

Azzaoui, Nourddine ; Miraoui, Abdelkader ; Snoussi, Hichem ; Duchêne, Jacques

Author_Institution

Lab. de modelisation et de surete des Syst. (LM2S), UTT, Troyes, France

fYear

2009

fDate

June 29 2009-July 1 2009

Firstpage

1

Lastpage

4

Abstract

In this work, an Empirical Mode Decomposition (EMD) of bivariate signals is proposed. It permits to decompose signals into elementary rotating functions, oscillating functions and tendencies. The technique is based on recursive extraction of non planar and rapidly rotating functions, and then a recursive extraction of rapidly oscillating functions as in case of univariate EMD. Our concept is based on a theoretical decomposition and is confirmed on simulated signals.

Keywords

recursive estimation; signal processing; bivariate signals; elementary rotating functions; empirical mode decomposition; nonplanar rotating functions; oscillating functions; rapidly rotating functions; recursive extraction; vectorial bidimensional signals; Adaptive signal processing; Biomedical signal processing; Data mining; Filter bank; Finance; Fluctuations; Frequency; Harmonic analysis; Power harmonic filters; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Multidimensional (nD) Systems, 2009. nDS 2009. International Workshop on

Conference_Location

Thessaloniki

Print_ISBN

978-1-4244-2797-0

Electronic_ISBN

978-1-4244-2798-7

Type

conf

DOI

10.1109/NDS.2009.5191553

Filename

5191553