Application of nonlinear adaptive filter based on nearest neighbors in phase space on EMD end effect

The empirical mode decomposition (EMD) method proposed by Huang presents its own ability for processing nonlinear and nonstationary signals. However, this method also has limitation when the upper and lower envelopes, which are constructed by using a cubic spline function from given signals, deviate from the true ones because of the unknown accurate data at the end of the signal. This defect influences the signal decomposition quality with EMD algorithm seriously. In order to solve this problem, many approaches for restraining the end effect were proposed. In this article, we will use nonlinear adaptive filter based on nearest neighbors in Phase Space to solve EMD end effect.