A fast approach of implementing the Fourier decomposition method for nonlinear and non-stationary time series analysis
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering
Reference52 articles.
1. Adaptive mode decomposition methods and their applications in signal analysis for machinery fault diagnosis: a review with examples;Feng;IEEE Access,2017
2. Enhancement of adaptive mode decomposition via angular resampling for nonstationary signal analysis of rotating machinery: principle and applications;Zhang;Mech. Syst. Signal Process.,2021
3. Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: principle and applications;Feng;Mech. Syst. Signal Process.,2020
4. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis;Huang;Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci.,1998
5. Ensemble empirical mode decomposition: a noise-assisted data analysis method;Wu;Adv. Adapt. Data Anal.,2009
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