DocumentCode
463981
Title
Rotation Invariant Complex Empirical Mode Decomposition
Author
Bin Altaf, M. Umair ; Gautama, T. ; Tanaka, T. ; Mandic, Danilo P.
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
Volume
3
fYear
2007
fDate
15-20 April 2007
Abstract
A new method to extend the empirical mode decomposition (EMD) into the complex domain is proposed. Unlike the existing method for EMD in the complex domain, this is achieved in a generic way so that the mathematical development of this method mirrors the algorithm defined for EMD in the real domain. The so derived intrinsic mode functions (IMFs) are complex by design and are shown to provide a consistent framework for handling both real and complex data. The simulations on real world complex-valued signals illustrate the applications of the technique.
Keywords
signal representation; statistical analysis; complex-valued signals; intrinsic mode functions; rotation invariant complex empirical mode decomposition; Agricultural engineering; Data analysis; Educational institutions; Fourier transforms; Frequency conversion; Signal analysis; Signal mapping; Signal processing algorithms; Time domain analysis; Wavelet analysis; Empirical Mode Decomposition; Estimation; Signal Modality Characterization; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.366853
Filename
4217883
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