• DocumentCode
    447181
  • Title

    Linearized least squares design of transformation function for filter banks

  • Author

    Tay, David B H

  • Author_Institution
    Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
  • Volume
    1
  • fYear
    2005
  • fDate
    12-14 Oct. 2005
  • Firstpage
    610
  • Lastpage
    613
  • Abstract
    The design of biorthogonal filter banks using the transformation of variables technique is considered in this paper. The transformation function is constructed by using the parametric Bernstein polynomial and a high number of vanishing moments can be easily achieved. In previous approaches, the transformation function is designed independently of the prototype filter but in this paper the transformation is optimized with regards to the prototype filter. A least squares formulation leads to a complex non-linear optimization problem. We present a way to linearize the problem and then present an efficient iterative procedure to solve the problem.
  • Keywords
    channel bank filters; iterative methods; least squares approximations; polynomials; biorthogonal filter banks; iterative procedure; least squares formulation; linearized least squares design; nonlinear optimization; parametric Bernstein polynomial; transformation function; Channel bank filters; Discrete wavelet transforms; Electronic mail; Filter bank; Image reconstruction; Least squares methods; Low pass filters; Nonlinear filters; Polynomials; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-9538-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2005.1566929
  • Filename
    1566929