Conference Papers Year : 2003

On empirical mode decomposition and its algorithms

Abstract

Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues related to its effective implementation are discussed. A number of algorithmic variations, including new stopping criteria and an on-line version of the algorithm, are proposed. Numerical simulations are used for empirically assessing performance elements related to tone identification and separation. The obtained results support an interpretation of the method in terms of adaptive constant-Q filter banks.
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Dates and versions

inria-00570628 , version 1 (04-02-2025)

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  • HAL Id : inria-00570628 , version 1

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Gabriel Rilling, Patrick Flandrin, Paulo Gonçalves. On empirical mode decomposition and its algorithms. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03, Jun 2003, Grado, Italy. ⟨inria-00570628⟩
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