Loading [MathJax]/extensions/MathMenu.js
Empirical Mode Decomposition for vectorial bi-dimensional signals | IEEE Conference Publication | IEEE Xplore

Empirical Mode Decomposition for vectorial bi-dimensional signals


Abstract:

In this work, an Empirical Mode Decomposition (EMD) of bivariate signals is proposed. It permits to decompose signals into elementary rotating functions, oscillating func...Show More

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.
Date of Conference: 29 June 2009 - 01 July 2009
Date Added to IEEE Xplore: 07 August 2009
ISBN Information:
Conference Location: Thessaloniki, Greece

Contact IEEE to Subscribe

References

References is not available for this document.