The use of a masking signal to improve Empirical Mode Decomposition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn IV, Issue , 2005, Pages 485-488

  Deering, Ryan ^a   Kaiser, James F ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; SIGNAL THEORY;

EMPIRICAL MODE DECOMPOSITION (EMD); MATHEMATICAL ANALYSIS; MODE MIXING; SIGNAL ANALYSIS;

SIGNAL PROCESSING;

EID: 33646770000     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416051     Document Type: Conference Paper

References (6)

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2. G. Rilling, P. Flandrin, and P. Gonçalvès, "On empirical mode decomposition and its algorithms," in IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP-03, 2003.
3. P. Flandrin, G. Rilling, and P. Gonçalvès, "Empirical mode decomposition as a filter bank," IEEE Sig. Proc. Lett., vol. 11, no. 2, pp. 112-114, 2004.
4. S. Hahn, Hilbert Transforms in Signal Processing, Artech House, Boston, 1996.
5. N. E. Huang, Z Shen, and S. Long, "A NEW VIEW OF NON-LINEAR WATER WAVES: The Hilbert Spectrum," Annu. Rev. Fluid Mech., vol. 31, no. 1, pp. 417-457, 1999.
6. N.B. Huang, M. Wu, S. Long, S. Shen, W. Qu, P. Gloerson, and K. Fan, "A confidence limit for the empirical mode decomposition and hilbert spectral analysis," Proc. R. Soc. Lond A, vol. 459, no. 2037, pp. 2317-2345, September 2003.