• DocumentCode
    1143492
  • Title

    Reduction of Symmetric Complex Filters

  • Author

    Bruekers, Fons ; Kalker, Ton

  • Author_Institution
    Philips Res. Labs., Eindhoven, Netherlands
  • Volume
    58
  • Issue
    1
  • fYear
    2010
  • Firstpage
    200
  • Lastpage
    208
  • Abstract
    Due to their linear-phase property, symmetric filters are an interesting class of finite-impulse-response (FIR) filters. Moreover, symmetric FIR filters allow an efficient implementation. In this paper we extend the classical definition of Hermitian symmetry to a more general symmetry that is also applicable to complex filters. This symmetry is called generalized-Hermitian symmetry. We show the usefulness of this definition as it allows for a unified treatment of even and odd-length filters. Central in this paper is a theorem on the reduction of generalized-Hermitian-symmetric filters to Hermitian-symmetric filters, both with finite precision coefficients. A constructive proof of this theorem is presented and an associated procedure for reducing generalized-Hermitian-symmetric filters is derived. Two of the examples show the application of the reduction procedure and the achieved savings on arithmetic costs. Finally, all three examples show that a special instance of the generalized-Hermitian-symmetric filters with finite precision coefficients, may have lower arithmetic costs than the Hermitian-symmetric filter from which it is derived.
  • Keywords
    FIR filters; Hermitian-symmetric filters; finite-impulse-response filters; linear-phase property; symmetric FIR filters; symmetric complex filters reduction; Complex filters; FIR filters; digital filters; finite precision; linear-phase filters; symmetry;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2028092
  • Filename
    5170021