A study of the characteristics of white noise using the empirical mode decomposition method
Institute of Global Environment and Society · Goddard Space Flight Center
Abstract
Based on numerical experiments on white noise using the empirical mode decomposition (EMD) method, we find empirically that the EMD is effectively a dyadic filter, the intrinsic mode function (IMF) components are all normally distributed, and the Fourier spectra of the IMF components are all identical and cover the same area on a semi–logarithmic period scale. Expanding from these empirical findings, we further deduce that the product of the energy density of IMF and its corresponding averaged period is a constant, and that the energy–density function is chi–squared distributed. Furthermore, we derive the energy–density spread function of the IMF components. Through these results, we establish a method of…
Citation impact
- FWCI
- 71.08
- Percentile
- 100%
- References
- 9
Authors
2Topics & keywords
- Hilbert–Huang transform
- Logarithm
- Mode (computer interface)
- White noise
- Filter (signal processing)
- Noise (video)
- Function (biology)
- Mathematics
- Affordable and clean energy