• DocumentCode
    2429667
  • Title

    Explicit construction of compactly supported biorthogonal multiwavelets based on the matrix extension

  • Author

    Cen, Yi-Gang ; Cen, Li-Hui

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing
  • fYear
    2008
  • fDate
    7-11 June 2008
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    Polyphase matrix extension of the scaling vector functions plays an important role in the construction of compactly supported biorthogonal multiwavelets. However, the involved computations are rather complex, and there is no unified, direct formula available so far. In this paper, by studying the canonical forms and the product preserving transformations of the polyphase matrices, an abstract algebraic approach for the matrix extension problem is proposed. More important, explicit formulas for the construction problem are represented via the submatrices of the polyphase matrices of scaling vector functions directly. Furthermore, complete solution set can be obtained from these explicit formulas via product preserving transformations. Computational examples demonstrate that by using the explicit formulas, our matrix extension algorithm is direct and effective.
  • Keywords
    functions; matrix algebra; vectors; wavelet transforms; abstract algebraic approach; biorthogonal multiwavelet construction; matrix product preserving transformation; polyphase matrix extension problem; scaling vector function; Automation; Biomedical signal processing; Equations; Helium; Information science; Interpolation; Low pass filters; Neural networks; Signal processing algorithms; Symmetric matrices; Compactly supported biorthogonal multiwavelets; abstract algebraic approach; canonical form; polyphase matrix extension; product preserving transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2008 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-2310-1
  • Electronic_ISBN
    978-1-4244-2311-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2008.4590368
  • Filename
    4590368