Improved EEMD in the Application of Signal Singularity Detection

Mei Jun Zhang; Chuang Wang; Hao Chen; Qun Zhang Tu

doi:10.4028/www.scientific.net/AMR.518-523.3847

Paper Titles

The Influence of Users' Behavioral Characteristics on Soundscape in the Waiting Halls of Railway Stations
p.3830

Analytical Sensitivity of Acoustic Power Radiated from a Closed Structure Based on the Theory of Acoustic Radiation Modes
p.3834

Application of BP Neural Network in Traffic Noise Prediction
p.3838

Detecting Known Objects in a Noisy Scene Using Generalized Likelihood Ratio Test
p.3843

Improved EEMD in the Application of Signal Singularity Detection
p.3847

Model and Application on Displacement Calculation of Abutment by Considering Earthquake Effects
p.3852

Research on Free Damping Treatment for a Marine Life Hoist of the Helicopter
p.3859

Study on Filling Fraction of Bandgap Lowest Starting Frequency of one Dimension Phononic Crystals
p.3865

Vibration Research of Electromechanical Coupling System on HEV
p.3869

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Improved EEMD in the Application of Signal...

Improved EEMD in the Application of Signal Singularity Detection

Abstract:

In order to solve the endpoint effect and modal aliasing phenomenon in EMD and EEMD,Improved EEMD is put forward, and the application in signal singularity detection is researched in this paper. The improved EEMD will signal drops down into a series of different IMF to highlight the different local characteristics of original data, and then calculate Hilbert marginal spectrum and time-frequency spectrum to determine the frequency of these mutations and mutations position. To compared with FT, STFT, WVD,WT, EMD and EEMD etc, No cross-terms and no false IMF components are produced in the Hilbert time-frequency spectrum of the improved EEMD. Different frequency components and frequency mutations position are clearly distinguished at the same time. The Hilbert time-frequency spectrum of the improved EEMD has more superior detection signal singularity ability.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

3847-3851

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.3847

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Online since:

May 2012

Authors:

Mei Jun Zhang, Chuang Wang, Hao Chen, Qun Zhang Tu

Keywords:

EEMD, Endpoint Effect, IMF, Signal Processing

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