A new bidimensional EMD algorithmand its applications

Empirical mode decomposition (EMD) is a powerful tool for analysis of non-stationaryand nonlinear signals, and has drawn significant attention in various engineeringapplication areas. This paper presents a new bidimensional EMD based on the adaptive anisotropic triangulations. Specifically, we define the local mean surface of the data, which is a key step in bidimensional EMD, by a locally weighted mean filter with variable window sizes that are determined by the adaptive anisotropic triangulations. Numerical experiments show that the proposed method achieves effective empirical mode decomposition for 2D signals.