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    HILBERT-HUANG TRANSFORM AND ITS APPLICATIONS

    edited by Norden E Huang (NASA Goddard Space Flight Center, USA) & Samuel S P Shen (University of Alberta, Canada)

    Table of Contents (72k)
    Preface (65k)
    Chapter 1: Introduction to the Hilbert-Huang Transformand its Related Mathematical Problems (936k)

    The Hilbert-Huang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the Wigner-Ville Distribution, HHT is truly a time-frequency analysis, but it does not require an a priori functional basis and, therefore, the convolution computation of frequency. The method provides a magnifying glass to examine the data, and also offers a different view of data from nonlinear processes, with the results no longer shackled by spurious harmonics — the artifacts of imposing a linearity property on a nonlinear system or of limiting by the uncertainty principle, and a consequence of Fourier transform pairs in data analysis. This is the first HHT book containing papers covering a wide variety of interests. The chapters are divided into mathematical aspects and applications, with the applications further grouped into geophysics, structural safety and visualization.

     
    Contents:
    • Theoretical Aspects:Introduction to the Hilbert–Huang Transform and Its Related Mathematical Problems (N E Huang)
      • B-Spline Based Empirical Mode Decomposition (S Riemenschneider et al.)
      • EMD Equivalent Filter Banks, from Intrepretation to Applications (P Flandrin et al.)
      • HHT Sifting and Filtering (R N Meeson)
      • Statistical Significance Test of Intrinsic Mode Functions (Z Wu & N E Huang)
    • Applications to Geophysics:
      • The Application of Hilbert–Huang Transforms to Meteorological Datasets (D G Duffy)
      • Empirical Mode Decomposition and Climate Variability (K Coughlin & K K Tung)
      • EMD Correction of Orbital Drift Artifacts in Satellite Data Stream (J E Pinzón et al.)
      • HHT Analysis of the Nonlinear and Non-Stationary Annual Cycle of Daily Surface Air Temperature Data (S S P Shen et al.)
      • Hilbert Spectra of Nonlinear Ocean Waves (P A Hwang et al.)
    • Applications to Structural Safety:
      • EMD and Instantaneous Phase Detection of Structural Damage (L W Salvino et al.)
      • HHT-Based Bridge Structural Health-Monitoring Method (N E Huang et al.)
    • Applications to Visualization:
      • Applications of HHT in Image Analysis (S R Long)
     
    Readership: Scientists and engineers analyzing data from nonlinear and nonstationary processes; graduate students, who may use this book as part of their course material on data analysis; mathematicians exploring new theories of data analysis; medical researchers and mathematical biologists.
     
     
    324pp    Pub. date: Sep 2005  
    ISBN:   978-981-256-376-7
    981-256-376-8
       US$156 / £86

     


    324pp    Pub. date: Sep 2005  
    ISBN:   978-981-270-334-7(ebook)
    981-270-334-9(ebook)
       US$203

     


     

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    Updated on 19 March 2010