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  • Traditional Fourier-based methods are designed to work with linear data, or linear representations of nonlinear data and are not suitable for studying nonlinear and non-stationary phenomena. Non-stationary applications require new data processing tools and algorithms, such as the Hilbert-Huang Transform (HHT).
  • Traditional Fourier-based methods are designed to work with linear data, or linear representations of nonlinear data and are not suitable for studying nonlinear and non-stationary phenomena. Non-stationary applications require new data processing tools and algorithms, such as the Hilbert-Huang Transform (HHT). (en)
  • Fourierova transformace vyžaduje, aby (a) systém byl lineární a (b) data byla stacionární. Požadavek stacionarity je v praxi nesplnitelný. Tento problém řeší HHT. Hilbertova transformace je doplněna o algoritmus %22prosévání%22, kterým je možno velkou třídu signálů dekomponovat na jejich jednodušší úzkopásmové složky, IMF (Intrinsic Mode Functions). Pomocí IMF lze ze signálu vyextrahovat podstatné vlastnosti a použít je jak k popisu signálu, tak k jeho predikci. V přednášce budou ukázány některé autorovy původní praktické výsledky. (cs)
Title
  • Instantaneous Frequency and Hilbert-Huang Transform
  • Okamžitá frekvence a transformace Hilbert-Huangova (cs)
  • Instantaneous Frequency and Hilbert-Huang Transform (en)
skos:prefLabel
  • Instantaneous Frequency and Hilbert-Huang Transform
  • Okamžitá frekvence a transformace Hilbert-Huangova (cs)
  • Instantaneous Frequency and Hilbert-Huang Transform (en)
skos:notation
  • RIV/68407700:21220/07:02133110!RIV08-MSM-21220___
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  • RIV/68407700:21220/07:02133110
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  • EMF; Hilbert-Huang Transform; constrained splines (en)
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  • [62287187C023]
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  • Proceedings of the 8th International Carpathian Control Conference
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  • Kokeš, Josef
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  • Technical University , BERG Faculty
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  • 978-80-8073-805-1
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  • 21220
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