Time-frequency signal filtering of coulostatically induced transients based on empirical mode decomposition

A method of filtering based on empirical mode decomposition (EMD)for coulostatically induced transients (CITs) is presented. This filtering was illustrated using CIT and its associated impedance spectra, and comparisons have been made with wavelet filtering and the finite impulse response (FIR) method. The results reported here demonstrate that EMD filtering is applicable to coulostatic measurements data in both the time and frequency domains, where wavelet filtering can also be successful. Moreover, in cases where the noise needs to befiltered from the nonlinear CITs, EMD can eliminate noisy data from CIT. The proposed method shows superior performance over the traditional methods and is an alternative filtering method for the CIT analysis.