• DocumentCode
    1334266
  • Title

    Pade table, continued fraction expansion, and perfect reconstruction filter banks

  • Author

    Khansari, Masoud R K ; Dubois, Eric

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    44
  • Issue
    8
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    1955
  • Lastpage
    1963
  • Abstract
    We investigate the relationships among the Pade table, continued fraction expansions and perfect reconstruction (PR) filter banks. We show how the Pade table can be utilized to develop a new lattice structure for general two-channel bi-orthogonal perfect reconstruction (PR) filter banks. This is achieved through characterization of all two-channel biorthogonal PR filter banks. The parameterization found using this method is unique for each filter bank. Similar to any other lattice structure, the PR property is achieved structurally and the quantization of the parameters of the lattice does not effect this property. Furthermore, we demonstrate that for a given filter, the set of all complementary filters can be uniquely specified by two parameters, namely, the end-to-end delay of the system and a scalar quantity. Finally, we investigate the convergence of the successive filters found through the proposed lattice structure and develop a sufficient condition for this convergence
  • Keywords
    band-pass filters; convergence of numerical methods; delays; digital filters; filtering theory; lattice filters; network parameters; signal reconstruction; Pade table; complementary filters; continued fraction expansion; convergence; end to end delay; lattice structure; parameters quantization; perfect reconstruction filter banks; scalar quantity; successive filters; sufficient condition; two-channel biorthogonal filter banks; Channel bank filters; Convergence; Delay systems; Filter bank; Helium; Image reconstruction; Lattices; Polynomials; Quantization; Speech coding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.533716
  • Filename
    533716