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Hilbert-Huang Transform

Hilbert-Huang Transform (HHT) er en adaptiv, datadrevet metode til analyse af ikke-lineære og ikke-stationære tidsserier, introduceret af Norden E. Huang og kolleger i 1998. Den kombinerer Empirical Mode Decomposition (EMD), som nedbryder et signal i intrinsiske modefunktioner (IMF'er), med Hilbert spektralanalyse for at producere øjeblikkelige frekvens- og amplituderepræsentationer uden at antage signalstationaritet eller linearitet.

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  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). Hilbert-Huang Transform. ScholarGate. https://scholargate.app/da/signal-processing/hilbert-huang-transform

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ScholarGateHilbert-Huang Transform (Hilbert-Huang Transform). Hentet 2026-06-15 fra https://scholargate.app/da/signal-processing/hilbert-huang-transform · Datasæt: https://doi.org/10.5281/zenodo.20539026