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Volumn 4113 LNCS - I, Issue , 2006, Pages 299-304

A novel boundary extension approach for empirical mode decomposition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR CORRECTION; PROBLEM SOLVING;

EID: 33749577253     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11816157_31     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
    • 0001325175 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis
    • Huang, N. E., Shen, Z., Long, S. R. et al.: The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis. Proc. R. Soc. Lond. A. 1 (1998) 454-899
    • (1998) Proc. R. Soc. Lond. A. , vol.1 , pp. 454-899
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3
  • 2
    • 84941150219 scopus 로고    scopus 로고
    • Variable sampling of the empirical mode decomposition of two-dimensional signals
    • Anna, Linderhed.: Variable Sampling of the Empirical Mode Decomposition of Two-Dimensional Signals. International Journal of Wavelets, Multiresolution and Information. 4738 (2002) 1-8
    • (2002) International Journal of Wavelets, Multiresolution and Information , vol.4738 , pp. 1-8
    • Anna, L.1
  • 3
    • 0036759823 scopus 로고    scopus 로고
    • Improvement of the mirror extending in empirical mode decomposition method and the technology for eliminating frequency mixing
    • Zhao, Jinping.: Improvement of the Mirror Extending in Empirical Mode Decomposition Method and the Technology for Eliminating Frequency Mixing. High Technology Letter. 4 (2002) 40-47
    • (2002) High Technology Letter , vol.4 , pp. 40-47
    • Zhao, J.1
  • 4
    • 84941162622 scopus 로고    scopus 로고
    • A simple boundary process technique for empirical mode decomposition
    • Kan, Z., Mingxia He.: A Simple Boundary Process Technique for Empirical Mode Decomposition. IEEE Trans. PAMI. 23 (2004) 234-241
    • (2004) IEEE Trans. PAMI , vol.23 , pp. 234-241
    • Kan, Z.1    He, M.2
  • 5
    • 0033752603 scopus 로고    scopus 로고
    • Fuzzy neural nets with non-symmetric Pi membership functions and applications in signal processing and image analysis
    • Jun Shen., Wei Shen., Sun, HJ., J.Y. Yang.: Fuzzy Neural Nets with Non-Symmetric Pi Membership Functions and Applications in Signal Processing and Image Analysis. Signal Processing. 80 (2000) 965-983
    • (2000) Signal Processing , vol.80 , pp. 965-983
    • Shen, J.1    Shen, W.2    Sun, H.J.3    Yang, J.Y.4
  • 6
    • 4143084984 scopus 로고    scopus 로고
    • Performance and limitations of the Hilbert-Huang transformation (HHT) with an application to lirregular water waves
    • Marcus Datig., Torsten Schlurmann.: Performance and Limitations of the Hilbert-Huang transformation (HHT) with an Application to lirregular Water Waves. Ocean Engineering. 31 (2004) 1783-1834
    • (2004) Ocean Engineering , vol.31 , pp. 1783-1834
    • Datig, M.1    Schlurmann, T.2
  • 8
    • 10244251596 scopus 로고    scopus 로고
    • Note on interpolation on the hypercube by means of Sigma-pi neural networks
    • Burkhard Lenze.: Note on Interpolation on the Hypercube by Means of Sigma-pi Neural Networks. Neurocomputing. 61 (2004) 471-478
    • (2004) Neurocomputing , vol.61 , pp. 471-478
    • Lenze, B.1
  • 9
    • 33744915321 scopus 로고    scopus 로고
    • Solving ttime of least square systems in sigma-pi unit networks
    • Pierre Courrieu.: Solving Ttime of Least Square Systems in Sigma-pi Unit Networks. Neural Information Processing. 4 (2004) 39-47
    • (2004) Neural Information Processing , vol.4 , pp. 39-47
    • Courrieu, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.