= Hilbert–Huang transform
{wiki=Hilbert–Huang_transform}
The Hilbert–Huang Transform (HHT) is a method of signal processing that is designed for analyzing nonlinear and non-stationary signals. It comprises two main components: the Empirical Mode Decomposition (EMD) and the Hilbert Transform. \#\#\# Components of HHT 1. **Empirical Mode Decomposition (EMD)**: - EMD is an adaptive data analysis technique that decomposes a signal into a finite number of intrinsic mode functions (IMFs).
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