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The Empirical Mode Decomposition and the Hilbert-Huang Transform

  1. Research Article

    Fast and Adaptive Bidimensional Empirical Mode Decomposition Using Order-Statistics Filter Based Envelope Estimation

    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 ...

    Sharif M. A. Bhuiyan, Reza R. Adhami and Jesmin F. Khan

    EURASIP Journal on Advances in Signal Processing 2008 2008:728356

    Published on: 8 May 2008

  2. Research Article

    A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM

    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 ...

    Junsheng Cheng, Dejie Yu and Yu Yang

    EURASIP Journal on Advances in Signal Processing 2008 2008:647135

    Published on: 8 May 2008

  3. Review Article

    Multimodal Pressure-Flow Analysis: Application of Hilbert Huang Transform in Cerebral Blood Flow Regulation

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

    Men-Tzung Lo, Kun Hu, Yanhui Liu, C.-K. Peng and Vera Novak

    EURASIP Journal on Advances in Signal Processing 2008 2008:785243

    Published on: 8 May 2008

  4. Research Article

    Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition

    Crack evaluation is essential for effective classification of pavement cracks. Digital images of pavement cracks have been analyzed using techniques such as fuzzy set theory and neural networks. Bidimensional ...

    Albert Ayenu-Prah and Nii Attoh-Okine

    EURASIP Journal on Advances in Signal Processing 2008 2008:861701

    Published on: 30 March 2008

  5. Research Article

    Speech Enhancement via EMD

    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...

    Kais Khaldi, Abdel-Ouahab Boudraa, Abdelkhalek Bouchikhi and Monia Turki-Hadj Alouane

    EURASIP Journal on Advances in Signal Processing 2008 2008:873204

    Published on: 25 March 2008

  6. Research Article

    Feature Point Detection Utilizing the Empirical Mode Decomposition

    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...

    Jesmin Farzana Khan, Kenneth Barner and Reza Adhami

    EURASIP Journal on Advances in Signal Processing 2008 2008:287061

    Published on: 25 March 2008

  7. Research Article

    Single-Trial Classification of Bistable Perception by Integrating Empirical Mode Decomposition, Clustering, and Support Vector Machine

    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...

    Zhisong Wang, Alexander Maier, Nikos K. Logothetis and Hualou Liang

    EURASIP Journal on Advances in Signal Processing 2008 2008:592742

    Published on: 18 March 2008