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Empirical Mode Decomposition (EMD)

Empirical Mode Decomposition (EMD) je potpuno podatkovno vođena, adaptivna metoda za dekompoziciju nelinearnih i nestacionarnih vremenskih serija na konačan skup oscilatornih komponenti nazvanih Intrinsic Mode Functions (IMFs), plus monotoni ostatak. EMD, koji su uveli Norden E. Huang i saradnici na NASA-i 1998. godine, ne zahteva unapred definisane bazne funkcije i sve komponente izvodi direktno iz samog signala, što ga fundamentalno razlikuje od Furijeovih ili Vebovih transformacija.

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Izvori

  1. Huang, N. E., et al. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A, 454(1971), 903–995. DOI: 10.1098/rspa.1998.0193

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ScholarGate. (2026, June 2). Empirical Mode Decomposition (EMD). ScholarGate. https://scholargate.app/sr/signal-processing/empirical-mode-decomposition

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ScholarGateEmpirical Mode Decomposition (Empirical Mode Decomposition (EMD)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/signal-processing/empirical-mode-decomposition · Skup podataka: https://doi.org/10.5281/zenodo.20539026