A New Approach to Empirical Mode Decomposition Based on Akima Spline Interpolation Technique

A New Approach to Empirical Mode Decomposition Based on Akima Spline Interpolation Technique

The objective of this research work is to extend the scope of the empirical mode decomposition (EMD) algorithm, as an efficient tool to decompose the nonlinear and non-stationary time series. For EMD to be widely applicable, the extension utilizes both clean and noisy data sets. When constructing up...

Full description

Bibliographic Details
Main Authors: Muhammad Ali, Dost Muhammad Khan, Imran Saeed, Huda M. Alshanbari
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Akima
empirical mode decomposition (EMD)
fast Fourier transform (FFT)
intrinsic mode functions (IMFs)
variational mode decomposition (VMD)
complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN)
Online Access:https://ieeexplore.ieee.org/document/10061218/

Internet

https://ieeexplore.ieee.org/document/10061218/

Similar Items