Title :
Some properties of an empirical mode type signal decomposition algorithm
Author :
Hawley, Stephen D. ; Atlas, Les E. ; Chizeck, Howard J.
Author_Institution :
Dept. of Electr. Eng. Seattle, Univ. of Washington, Seattle, WA
fDate :
March 31 2008-April 4 2008
Abstract :
The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it lacks a firm theoretical foundation. This work addresses this. The original EMD algorithm is slightly modified, in a way that facilitates its analysis. We prove three theorems that give conditions for the convergence and time scale separation of the EMD for stationary, band-limited signals.
Keywords :
bandlimited signals; source separation; time series; band-limited signals; empirical mode decomposition; nonlinear analysis; nonstationary time-series; signal decomposition algorithm; time scale separation; Algorithm design and analysis; Convergence; Iterative algorithms; Nonlinear systems; Signal analysis; Signal representations; Signal resolution; Spectral analysis; Time series analysis; Zirconium; Empirical Mode Decomposition; Signal Representation; Time Scale Separation;
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.2008.4518437
