• DocumentCode
    2244297
  • Title

    The Analysis and Design of One-Dimensional Nearly-Orthogonal Symmetric Wavelet Filter Banks

  • Author

    Chen, Tianjian ; Wu, Yun ; Zhao, Yong ; Wang, Xinan

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Guizhou Univ., Guiyang
  • Volume
    2
  • fYear
    2009
  • fDate
    30-31 May 2009
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    The design and analysis of one-dimensional (1D) nearly-orthogonal symmetric wavelet filter banks has been studied. Methods for analyzing the correlation of the nearly-orthogonal filter banks are proposed. The basic idea is to impose multiple zeros at the aliasing frequency to a symmetric filter, minimize the deviation of the filter satisfying the orthogonal condition, and then a nearly orthogonal filter bank can be obtained. The way in this paper is to find a FIR complementary filter of the minimized filter and thus construct a perfect reconstructed bi-orthogonal filter bank. Then a corresponding wavelet filter bank can be generated and correlation analysis can also be conducted. The integer translates of the wavelet at the same scale is also nearly-orthogonal, the disadvantage is that orthogonal degree of the integer translates of the wavelet at different scale is lower than that of the semi-orthogonal filter bank.
  • Keywords
    FIR filters; channel bank filters; wavelet transforms; FIR complementary filter; bi-orthogonal filter bank; channel filter banks; one-dimensional nearly-orthogonal symmetric wavelet filter banks; semi-orthogonal filter bank; Channel bank filters; Computer science; Educational institutions; Filter bank; Finite impulse response filter; Frequency; Laboratories; Low pass filters; Nonlinear filters; Wavelet analysis; filter banks; nearly-orthogonal; one-dimensional; symmetric; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society, 2009. ICNDS '09. International Conference on
  • Conference_Location
    Guiyang, Guizhou
  • Print_ISBN
    978-0-7695-3635-4
  • Type

    conf

  • DOI
    10.1109/ICNDS.2009.141
  • Filename
    5116730