I. Introduction
Research in signal processing shows that a plethora of approaches have been developed for complex data analysis. One of the widely used methods is the discrete Fourier transform (DFT). Other complementary techniques such as wavelet analysis and empirical mode decomposition were developed to identify useful patterns from seemingly random sequences [1]. The main difference, between each of the available techniques, arises due to the basis function that is used for projecting the signal onto a different subspace.