An approach of identifying the parameters of IMFs based on PLF

摘要

While identifying the parameters of IMFs from Empirical Mode Decomposition, by Hilbert-Huang Transform, a piece ofapproximately linear data segment is necessary for a specific result. The select of the data segment will directly influenceaccuracy of the parameters. The time for getting the approximately linear data segment is required to be as short aspossible. The paper uses Least Square Series-piecewise Linear Fitting method to divide data into pieces, then choosesseveral pieces with the highest goodness-of-fit, and takes each median as basis to change the length, for highergoodness-of-fit. The needed data segment is achieved in the case that this data segment can still reflect the inherentparameters. This paper brings some examples to verify that the approach is feasible and exact.