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An Improved Empirical Mode Decomposition

2009 2nd International Congress on Image and Signal Processing, 2009
Based on a detailed discussion regarding the attributes of so-called ride waves and the shortages of the classical empirical mode decomposition, this paper presents an improved method. A key point of the proposed method is that the ride waves in a signal should been first removed as independent components before the classical empirical mode ...
Zhihua Yang, Lihua Yang
openaire   +1 more source

The complex bidimensional empirical mode decomposition

Signal Processing, 2012
A new method for computing complex bidimensional empirical mode decomposition (BEMD) is presented in this paper. The proposed complex-BEMD uses four quadrant spectra to apply standard BEMD to four real-valued 2D signals. The so-generated intrinsic mode functions (IMFs) are 2D complex-valued, which facilitates the extension of the standard BEMD to the ...
openaire   +2 more sources

Reference empirical mode decomposition

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014
Jiexin Gao   +2 more
openaire   +1 more source

Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis

Measurement: Journal of the International Measurement Confederation, 2021
Jinde Zheng
exaly  

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998
Norden E. Huang   +2 more
exaly  

Multivariate empirical mode decomposition

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
D P Mandic
exaly  

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

Advances in Adaptive Data Analysis, 2009
Zhaohua Wu, Norden E. Huang
exaly  

THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

Advances in Adaptive Data Analysis, 2009
Xianyao Chen   +2 more
exaly  

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

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2004
Zhaohua Wu, Norden E. Huang
exaly  

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