Validation of Numerical Analysis Based on Mode Decomposition

2019 ◽  
Author(s):  
Yu Otake ◽  
Yosuke Higo ◽  
Kyohei Shigeno ◽  
Shinya Watanabe
Keyword(s):  
Numerical Analysis ◽  
Mode Decomposition

A Novel Gaussian Window Approach for Empirical Mode Decomposition

2012 ◽  
Vol 457-458 ◽  
pp. 274-277
Author(s):  
Shuen De Wu ◽  
Chiu Wen Wu ◽  
Cha Lin Liu ◽  
Yan Hao Huang ◽  
Kung Yen Lee
Keyword(s):  
Numerical Analysis ◽  
Empirical Mode Decomposition ◽  
Averaging Method ◽  
Intrinsic Mode Functions ◽  
Gaussian Window ◽  
Mode Decomposition ◽  
The Mean ◽  
Algorithmic Construction ◽  
Window Approach ◽  
Mode Mixing

Empirical mode decomposition (EMD) is an algorithmic construction for decomposing multi-component signals into a series of intrinsic mode functions (IMFs). However, traditional EMD may encounter the difficulty of mode mixing when a signal contains intermittency. To solve the difficulty, a Gaussian window averaging method is proposed to construct the mean envelope of a given signal in each sifting process. The numerical analysis also demonstrates promising reliability with the proposed algorithm.

Numerical analysis of electro-osmotic flows through elliptic microchannels

2013 ◽  
pp. 42-49 ◽  
Author(s):  
Pamela Vocale ◽  
Michela Geri ◽  
Luca Cattani ◽  
Gian Luca Morini ◽  
Marco Spiga
Keyword(s):  
Numerical Analysis
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