• DocumentCode
    1254867
  • Title

    Least-squares approximation of FIR by IIR digital filters

  • Author

    Brandenstein, Hartmut ; Unbehauen, Rolf

  • Author_Institution
    Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany
  • Volume
    46
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    21
  • Lastpage
    30
  • Abstract
    An algorithm is presented for the least-squares approximation of FIR filters by IIR filters. The algorithm is an iterative procedure where each iteration requires the solution of an overdetermined set of linear equations and some digital filtering operations. All calculations are performed with the numerator and denominator coefficients of the transfer functions. A conversion to state-space descriptions is not necessary. Examples show that the approximation error is as small as that of the IIR filters obtained with balanced model reduction. Moreover, the effects of numerical errors are negligible. Thus, our algorithm is applicable even in cases where the FIR filter length is large
  • Keywords
    FIR filters; IIR filters; digital filters; error analysis; filtering theory; iterative methods; least squares approximations; transfer functions; FIR digital filters; FIR filter length; IIR digital filters; approximation error; balanced model reduction; denominator coefficients; digital filtering; least-squares approximation; numerator coefficients; numerical errors; overdetermined linear equations; transfer functions; Approximation algorithms; Approximation error; Digital filters; Equations; Filtering algorithms; Finite impulse response filter; IIR filters; Iterative algorithms; Nonlinear filters; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.651163
  • Filename
    651163