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The Empirical Mode Decomposition and the Hilbert-Huang Transform

  3. Quantification of nonlinear interactions between two nonstationary signals presents a computational challenge in different research fields, especially for assessments of physiological systems. Traditional appr...

    Authors: Men-Tzung Lo, Kun Hu, Yanhui Liu, C.-K. Peng and Vera Novak
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:785243
    Content type: Review Article Published on:

  4. A novel approach for bidimensional empirical mode decomposition (BEMD) is proposed in this paper. BEMD decomposes an image into multiple hierarchical components known as bidimensional intrinsic mode functions ...

    Authors: Sharif M. A. Bhuiyan, Reza R. Adhami and Jesmin F. Khan
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:728356
    Content type: Research Article Published on:

  5. An accurate autoregressive (AR) model can reflect the characteristics of a dynamic system based on which the fault feature of gear vibration signal can be extracted without constructing mathematical model and ...

    Authors: Junsheng Cheng, Dejie Yu and Yu Yang
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:647135
    Content type: Research Article Published on:

  8. In this study, two new approaches for speech signal noise reduction based on the empirical mode decomposition (EMD) recently introduced by Huang et al. (1998) are proposed. Based on the EMD, both reduction sch...

    Authors: Kais Khaldi, Abdel-Ouahab Boudraa, Abdelkhalek Bouchikhi and Monia Turki-Hadj Alouane
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:873204
    Content type: Research Article Published on:

  9. This paper introduces a novel contour-based method for detecting largely affine invariant interest or feature points. In the first step, image edges are detected by morphological operators, followed by edge th...

    Authors: Jesmin Farzana Khan, Kenneth Barner and Reza Adhami
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:287061
    Content type: Research Article Published on:

  11. We propose an empirical mode decomposition (EMD-) based method to extract features from the multichannel recordings of local field potential (LFP), collected from the middle temporal (MT) visual cortex in a ma...

    Authors: Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:592742
    Content type: Research Article Published on: