The empirical mode decomposition (EMD), that provides a multi-scale and highly adaptable method, scores a breakthrough in the signal processing field. This paper gives a brief review of research advances of the theoretical foundation of the EMD algorithm based on the concept of the EMD. Furthermore, a comparison of various improved EMD methods is made. The applications of the EMD and the directions for further research are discussed.

signal processing  /  empirical mode decomposition (EMD)  /  end effect