Empirical Mode Decomposition is a data-driven signal processing technique that belongs to the class of time-frequency analysis methods, specifically distinguished by its ability to decompose nonlinear and non-stationary signals into a finite set of intrinsic mode functions that satisfy the Hilbert-Huang transform framework.
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Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text
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