ABSTRACT
The Hilbert-Huang Transform (HHT) is a two-step process for the analysis of nonlinear and non-stationary signals. The first step is empirical mode decomposition (EMD) which decomposes any signal into a set of band-limited AFM signals known as intrinsic mode functions (IMFs). The second part of HHT is Hilbert transform which converts obtained IMFs from EMD into analytic IMFs that can be used to determine AE and IF functions of these IMFs. EMD method is an adaptive and data dependent technique which does not require conditions about stationarity and linearity for signal analysis. This method decomposes any time-domain signal into a finite number of AFM components which represent the basis functions for EMD-based decomposition. EMD method for signal decomposition has some issues like mode mixing and small perturbation in input signal which can lead to a completely different set of IMFs. Dynamic mode decomposition is a data-adaptive technique to decompose the signal into a set of modes.
