• DocumentCode
    1380731
  • Title

    Design of predictive IIR filters via feedback extension of FIR forward predictors

  • Author

    Ovaska, Seppo J. ; Vainio, Olli ; Laakso, Timo I.

  • Author_Institution
    Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    46
  • Issue
    5
  • fYear
    1997
  • fDate
    10/1/1997 12:00:00 AM
  • Firstpage
    1196
  • Lastpage
    1201
  • Abstract
    Finite impulse response (FIR) predictors for polynomial signals and sinusoids are easy to design because of the available closed-form design formulae. On the other hand, those FIR predictors have two major drawbacks: the passband gain peak is usually greater than +3 dB, and a long FIR structure is needed to attain high attenuation in the stopband. Both of these characteristics cause severe problems, particularly in control instrumentation when the predictor operates inside a closed control loop. In this paper, we present a novel feedback extension scheme for FIR forward predictors. This extension makes it possible to easily design infinite impulse response (IIR) predictors with low passband ripple and high stopband attenuation. The new approach is illustrated with design examples
  • Keywords
    IIR filters; approximation theory; circuit feedback; circuit optimisation; delays; digital filters; minimisation; network synthesis; polynomials; prediction theory; transient response; 3 dB; FIR forward predictors; FIR structure; closed control loop; control instrumentation; delay effects; digital filters; feedback extension; feedback extension scheme; finite impulse response; high stopband attenuation; low passband ripple; optimisation; passband gain peak; polynomial approximation; polynomial signals; predictive IIR filters; sinusoids; Attenuation; Feedback; Finite impulse response filter; IIR filters; Passband; Polynomials; Predictive models; Process design; Signal design; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.676741
  • Filename
    676741