• DocumentCode
    1892519
  • Title

    Elimination of Gibbs phenomenon in Computational Information based on the V-system

  • Author

    Song, Ruixia ; Liang, Yanyan ; Wang, Xiaochun ; Qi, Dongxu

  • Author_Institution
    Zhejiang Univ., Hangzhou
  • fYear
    2007
  • fDate
    26-27 July 2007
  • Firstpage
    337
  • Lastpage
    341
  • Abstract
    Present a novel method to reconstruct a group of geometrical models in computational geometric information processing based on the V-system. This method is probably used in the field of pervasive computing. The V-system of degree k, as a generalization of Harr wavelet function, is a new class of complete orthogonal functions in L2[0,1]. It is composed of piecewise kth-order polynomials. Few people use the finite Fourier representation to reconstruct geometrical models because of Gibbs phenomenon. However, Based on the V-system, representation of a group of geometrical models can be realized. This means the frequency spectrum analysis can be introduced into the field of geometrical information processing.
  • Keywords
    Fourier analysis; Haar transforms; computational geometry; ubiquitous computing; wavelet transforms; Fourier representation; Gibbs phenomenon; Harr wavelet function; V-system; complete orthogonal function; computational geometric information processing; computer aided geometry design; frequency spectrum analysis; geometrical model reconstruction; pervasive computing; piecewise kth-order polynomial; Educational institutions; Fourier series; Fourier transforms; Frequency; Image reconstruction; Information processing; Mathematics; Pervasive computing; Polynomials; Solid modeling; Complete orthogonal function system; Computational geometry; Fourier series; Frequency spectrum analysis; Gibbs phenomenon; Harr functions; V-system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4244-0971-6
  • Electronic_ISBN
    978-1-4244-0971-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2007.4365465
  • Filename
    4365465