EMD Toolbox and Usage Guide for Empirical Mode Decomposition
The EMD Toolbox and usage methodology for Empirical Mode Decomposition (EMD) is a signal analysis technique developed by Dr. Norden E. Huang at NASA. This method decomposes signals based on their intrinsic time-scale characteristics without requiring predefined basis functions. This represents a fundamental distinction from Fourier and wavelet decomposition methods that rely on predetermined harmonic and wavelet basis functions. Due to this characteristic, EMD method can theoretically be applied to decompose any type of signal, giving it significant advantages in processing non-stationary and nonlinear data. Upon its introduction, EMD gained rapid adoption across various engineering fields, with implementations typically involving sifting processes, envelope detection using cubic spline interpolation, and intrinsic mode function (IMF) extraction through iterative algorithms.