• DocumentCode
    745876
  • Title

    Reconstruction of Finite Signal Derivatives From Multiscale Extrema Representations: Application to Transient Estimation and Signal Approximation

  • Author

    Meignen, Sylvain ; Guméry, Pierre-Yves

  • Author_Institution
    LMC-IMAG Lab., Grenoble Univ.
  • Volume
    55
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1554
  • Lastpage
    1559
  • Abstract
    In this correspondence, we propose a novel approach to the reconstruction of finite signal derivatives from the extrema of a multiscale representation, first introduced by Berkner. We show that this reconstruction procedure naturally leads to the definition of a signal characteristic scale. We also focus on signal approximation from the multiscale extrema representation of one of its derivatives. Numerical applications involve the use of the signal characteristic scale for transient estimation and also the study of the new signal approximation method we propose
  • Keywords
    approximation theory; signal reconstruction; signal representation; finite signal derivatives reconstruction; multiscale extrema representations; reconstruction procedure; signal approximation; Approximation methods; Continuous wavelet transforms; Discrete wavelet transforms; Image reconstruction; Image sampling; Minimization methods; Reconstruction algorithms; Sampling methods; Spline; Wavelet transforms; Berkner decomposition; multiscale extrema representation; signal approximation; transient estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.887570
  • Filename
    4133044