• DocumentCode
    1744849
  • Title

    Multi-wavelets from spline super-functions with approximation order

  • Author

    Özkaramanli, Huseyin ; Bhatti, A. ; Bilgehan, Bülent

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
  • Volume
    2
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    525
  • Abstract
    Approximation order is an important feature for all wavelets. It implies that polynomials up to degree p-1 are in the space spanned by the scaling function(s). For multi-wavelets the condition for approximation order is similar to the conditions in the scalar case. Generalized left eigenvectors of the matrix Hf, a finite portion of H, determine the combinations of scaling functions that produce the desired spline or scaling function. In this work, the condition of approximation order is derived for the special case where the multi scaling functions combine to form a super function that can produce any desired polynomial. New multi-wavelets with approximation orders one and two are constructed
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; signal processing; splines (mathematics); wavelet transforms; approximation order; generalized left eigenvectors; matrix; multi scaling functions; multi-wavelets; polynomials; scaling function; spline super-functions; Convolution; Equations; Filters; Focusing; Image coding; Mathematics; Noise reduction; Polynomials; Signal processing; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921123
  • Filename
    921123