A novel gaussian window approach for empirical mode decomposition
Journal
Advanced Materials Research
Journal Volume
457-458
Pages
274-277
Date Issued
2012
Author(s)
Abstract
Empirical mode decomposition (EMD) is an algorithmic construction for decomposing multi-component signals into a series of intrinsic mode functions (IMFs). However, traditional EMD may encounter the difficulty of mode mixing when a signal contains intermittency. To solve the difficulty, a Gaussian window averaging method is proposed to construct the mean envelope of a given signal in each sifting process. The numerical analysis also demonstrates promising reliability with the proposed algorithm.
Type
conference paper