Noise-modulated empirical mode decomposition

Advances in Adaptive Data Analysis

Volumn 2, Issue 1, 2010, Pages 25-37

  Tsui, Po Hsiang ^a   Chang, Chien Cheng ^a,b   Huang, Norden E ^c  

^a RESEARCH CENTER FOR APPLIED SCIENCES   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Empirical mode decomposition (EMD); ensemble empirical mode decomposition (EEMD); noise modulated empirical mode decomposition (NEMD)

Indexed keywords

ADAPTIVE THRESHOLDS; EMD METHOD; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; HILBERT HUANG TRANSFORMS; HILBERT SPECTRUM; INSTANTANEOUS FREQUENCY; INTERMITTENCY; INTRINSIC MODE FUNCTIONS; PHYSICAL INTERPRETATION; SMALL AMPLITUDE; WAVE FORMS;

WHITE NOISE;

SIGNAL PROCESSING;

EID: 80052090213     PISSN: 17935369     EISSN: 17937175     Source Type: Journal    
DOI: 10.1142/S1793536910000410     Document Type: Article

References (11)

1. Flandrin, P., Rilling, G. and Goncalves, P. (2004). Empirical mode decomposition as a filter bank. IEEE Signal Process. Lett., 11:112-114.
2. Gledhill, R. J. (2003). Methods for investigating conformational change in biomolecular simulations. A dissertation for the degree of Ph. D. at the Department of Chemistry, the University of Southampton.
3. Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N. C., Tung, C. C. and Liu, H. H. (1998). The empirical mode decomposition method and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. A, 454:903-995. (Pubitemid 128733183)
4. Huang, N. E., Shen, Z. and Long, S. R. (1999). A new view of nonlinear water waves: The Hilbert spectrum. Annu. Rev. Fluid Mech., 31:417-457. (Pubitemid 36186209)
5. Huang, N. E. and Wu, Z. H. (2008). A review on Hilbert-Huang transform: Method and its applications to geophysical studies. Rev. Geophys., 46: RG2006, doi:10.1029/2007RG000228.
6. Huang, N. E., Wu, Z. H., Long, S. R., Arnold, K. C., Chen, X. and Blank, K. (2009). On Instantaneous Frequency. Adv. Adapt. Data Anal., 1:177-229.
7. Rilling, G. and Flandrin, P. (2006). On the influence of sampling on the empirical mode decomposition. ICASSP, 3:444-447.
8. Rilling, G. and Flandrin, P. (2009). Sampling effects on the empirical mode decomposition. Adv. Adapt. Data Anal., 1:43-59.
9. Tsui, P. H., Chang, C. C., Chang, C. C., Huang, N. E. and Ho, M. C. (2008). An adaptive threshold filter for ultrasound signal rejection. Ultrasonics, 49:413-418.
10. Tsui, P. H., Chang, C. C., Ho, M. C., Lee, Y. H., Chen, Y. S., Chang, C. C., Huang, N. E., Wu, Z. H. and Chang, K. J. (2009). Use of Nakagami statistics and empirical mode decomposition for ultrasound tissue characterization by a nonfocused transducer. Ultrasound Med. Biol., 35:2055-2068.
11. Wu, Z. H. and Huang, N. E. (2009). Ensemble empirical mode decomposition: A noise assisted data analysis method. Adv. Adapt. Data Anal., 1:1-41.