Placeholder, for a non-stationary, non-linear signal decomposition method unlike the windowed stationary techniques of yore.
- Hilbert-Huang Transform and Its Applications
- The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
- Why use EMD?
- Hilbert–Huang transform
Huang, Norden E., Zheng Shen, Steven R. Long, Manli C. Wu, Hsing H. Shih, Quanan Zheng, Nai-Chyuan Yen, Chi Chao Tung, and Henry H. Liu. 1998. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 454 (1971): 903–95.
Huang, Norden E, and Samuel S P Shen. 2005a. Hilbert-Huang Transform and Its Applications. Vol. 5. Interdisciplinary Mathematical Sciences. WORLD SCIENTIFIC.
———. 2005b. “Introduction to the Hilbert Huang Transform and Its Related Mathematical Problems.” In Hilbert-Huang Transform and Its Applications. Vol. 5. Interdisciplinary Mathematical Sciences. WORLD SCIENTIFIC.
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