Data analysis using a combination of independent component analysis and empirical mode decomposition.
A combination of independent component analysis and empirical mode decomposition (ICA-EMD) is proposed in this paper to analyze low signal-to-noise ratio data. The advantages of ICA-EMD combination are these: ICA needs few sensory clues to separate the original source from unwanted noise and EMD can effectively separate the data into its constituting parts. The case studies reported here involve original sources contaminated by white Gaussian noise. The simulation results show that the ICA-EMD combination is an effective data analysis tool.
Lin
Shih-Lin
SL
Department of Mechanical Engineering, National Central University, Chungli 320, Taiwan.
Tung
Pi-Cheng
PC
Huang
Norden E
NE