• DocumentCode
    1208340
  • Title

    Improved narrowband low-pass IIR filters in fixed-point systems [DSP Tips & Tricks]

  • Author

    Lyons, Richard

  • Author_Institution
    Besser Assoc., Mountain View, CA
  • Volume
    26
  • Issue
    2
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Abstract
    Due to their resistance to quantized-coefficient errors, traditional second-order infinite impulse response (IIR) filters are the fundamental building blocks in computationally efficient high-order IIR digital filter implementations. However, when used in fixed-point number systems, the inherent properties of quantized-coefficient second-order IIR filters do not readily permit their use in narrowband low-pass filtering applications. Narrowband low- pass IIR filters have traditionally had a bad reputation; for example, MATLAB\´s Signal Processing Toolbox documentation warns: "All classical IIR low-pass filters are ill conditioned for extremely low cutoff frequencies." This article presents a neat trick that can be used to overcome the shortcomings of narrowband second-order low- pass IIR filters, with no increase in filter coefficient bit widths and no increase in the number of filter multiplies per output sample.
  • Keywords
    IIR filters; fixed point arithmetic; low-pass filters; mathematics computing; signal processing; MATLAB; fixed-point systems; high-order IIR digital filter; infinite impulse response filters; narrowband low-pass IIR filters; quantized-coefficient errors; signal processing toolbox; Computer languages; Cutoff frequency; Digital filters; Digital signal processing; Documentation; Filtering; IIR filters; Low pass filters; Narrowband; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2008.914713
  • Filename
    4806217