Empirical mode decomposition
Multiplying your exposure to uncertainty principles
January 6, 2018 — July 12, 2022
functional analysis
Hilbert space
probability
signal processing
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
1 References
Huang, Norden E, and Shen. 2005a. Hilbert-Huang Transform and Its Applications. Interdisciplinary Mathematical Sciences.
———. 2005b. “Introduction to the Hilbert Huang Transform and Its Related Mathematical Problems.” In Hilbert-Huang Transform and Its Applications. Interdisciplinary Mathematical Sciences.
Huang, Norden E., Shen, Long, et al. 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.