Title :
Qualitative assessment of intrinsic mode functions of empirical mode decomposition
Author :
Chen, Mo ; Mandic, Danilo P. ; Kidmose, Preben ; Ungstrup, Michael
Author_Institution :
Dept. of Electr. Eng., Imperial Coll. London, London
fDate :
March 31 2008-April 4 2008
Abstract :
The ´empirical mode decomposition´ (EMD) method has been recently proposed to deal with nonlinear and non- stationary data, which decomposes signals into ´well-behaved´ intrinsic mode functions (IMFs). An assessment on the qualitative performance of the EMD method in terms of the degree of signal nature preservation of individual IMF is provided. This is archived by means of the recently proposed signal characterisation method, based upon examining the signal predicability in phase space. It is shown that the first IMF always performs best in terms of signal nature preserving. Simulation results on both linear and nonlinear benchmark signals support the analysis.
Keywords :
signal processing; EMD method; empirical mode decomposition; intrinsic mode function; qualitative assessment; signal characterisation method; signal nature preserving; Analytical models; Data analysis; Educational institutions; Fourier transforms; Frequency; Mathematical model; Signal analysis; Spectral analysis; Stochastic processes; Wavelet analysis; Empirical mode decomposition (EMD); delay vector variance (DVV); intrinsic mode function (IMF); non-stationary; nonlinear;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518007