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The Hilbert–Huang transform (HHT) is a way to decompose a signal into so-called intrinsic mode functions (IMF) along with a trend, and obtain instantaneous frequency data. It is designed to work well for data that is nonstationary and nonlinear.
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signal emd hht data mode method et al imf huang time decomposition hilbert components imfs frequency analysis empirical using used
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Fourier transform | instance of | EMD can be compared with other analysis methods | 0.80 | text |
| Wavelet transform | instance of | EMD can be compared with other analysis methods | 0.80 | text |
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