Empirical Mode Decomposition and its Application

Empirical Mode Decomposition(EMD) is a decomposition algorithm which is used to analyze nonlinear and time-varying signal.Different from the traditional signal analysis method,the decomposition is data-driven and self-adaptive.A review work about the current development of one dimensional EMD and Bidimensional EMD is introduced.At first,some basic concepts and main algorithm ideas are described.Then the advantages and shortages of EMD are discussed.At the end of the paper,several problems which are waiting to be solved are listed.