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A Flexible Method for Envelope Estimation in Empirical Mode Decomposition

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

Abstract

A flexible and efficient method for finding the envelope within the empirical mode decomposition (EMD) is introduced. Unlike the existing (deterministic) spline based strategy, the proposed envelope is a result of an optimisation precess and sought as a minimum of a quadratic cost function. A closed form solution of this optimisation problem is obtained and it is shown that by choosing free parameters, we can fine-tune the frequency resolution or the number of intrinsic mode functions (IMFs) as well as the shape of the envelopes. Computer simulations on both the synthetic and real-world electro-encephalogram (EEG) data support the analysis.

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References

  1. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.-C., Tung, C.C., Liu, H.H.: Empirical Mode Decomposition Method and the Hilbert Spectrum for Non-stationary Time Series Analysis. In: Proc. Roy. Soc. London. A454, pp. 903–995 (1998)

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  5. Rilling, G., Flandrin, P., Gonçalvés, P.: MATLAB codes for EMD, http://perso.ens-lyon.fr/patrick.flandrin/emd.html

  6. Lambert, M., Engroff, A., Dyer, M., Byer, B.: MATLAB codes for EMD, http://www.owlnet.rice.edu/~elec301/Projects02/empiricalMode/code.html

  7. Rutkowski, T.M., Vialatte, F.B., Cichocki, A., Mandic, D.P., Barros, A.K.: Auditory Feedback for Brain Computer Interface Management – An EEG Data Sonification Approach. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS, vol. 4253, pp. 1232–1239. Springer, Heidelberg (2006)

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© 2006 Springer-Verlag Berlin Heidelberg

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Washizawa, Y., Tanaka, T., Mandic, D.P., Cichocki, A. (2006). A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_158

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  • DOI: https://doi.org/10.1007/11893011_158

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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