The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Эмпирическая модовая декомпозиция и спектр Хилберта для анализа нелинейных и нестационарных временных рядов
1998-03-08
SCID: 54.1/cb73h59k
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Hilbert spectrumempirical mode decompositionnon-stationary time series analysisnonlinear time series
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Key Findings
1
It introduces the Hilbert spectrum to represent instantaneous frequency and amplitude characteristics of decomposed signal components.
2
The paper presents empirical mode decomposition as an adaptive method for analyzing nonlinear and non-stationary time series.
3
Together, these methods provide a time-frequency analysis framework tailored to nonlinear and non-stationary data.
Research Object
nonlinear and non-stationary time series
Research Subject
empirical mode decomposition and Hilbert spectrum analysis
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Publication Date
1998-03-08
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