Browsing by Author "Hadjileontiadis, Leontios J"
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- Using Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realizationPublication . Costa, Paulo; Barroso, João; Fernandes, Hugo; Hadjileontiadis, Leontios JEmpirical mode decomposition (EMD) is a fully unsupervised and data-driven approach to the class of nonlinear and non-stationary signals. A new approach is proposed, namely PHEEMD, to image analysis by using Peano–Hilbert space filling curves to transform 2D data (image) into 1D data, followed by ensemble EMD (EEMD) analysis, i.e., a more robust realization of EMD based on white noise excitation. Tests’ results have shown that PHEEMD exhibits a substantially reduced computational cost compared to other 2D-EMD approaches, preserving, simultaneously, the information lying at the EMD domain; hence, new perspectives for its use in low computational power devices, like portable applications, are feasible.