A study of the characteristics of white noise using the empirical mode decomposition method

Institute of Global Environment and Society · Goddard Space Flight Center

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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…

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Authors

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Topics & keywords

Keywords
  • Hilbert–Huang transform
  • Logarithm
  • Mode (computer interface)
  • White noise
  • Filter (signal processing)
  • Noise (video)
  • Function (biology)
  • Mathematics
UN Sustainable Development Goals
  • Affordable and clean energy
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