• DocumentCode
    841833
  • Title

    Quantized FIR filter design using compensating zeros

  • Author

    Kotteri, Kishore A. ; Bell, Amy E. ; Carletta, Joan E.

  • Volume
    20
  • Issue
    6
  • fYear
    2003
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    This article presents a design method for translating a finite impulse response (FIR) floating-point multiplierless filter design. Conventional wisdom dictates that finite word-length (i.e., quantization) effects can be minimized by dividing a filter into smaller, cascaded sections. In this design method, it is shown how to quantize the cascaded sections so that the finite word-length effects in one section are guaranteed to compensate for the finite word-length effects in the other section. This simple method called, "compensating zeros," ensures that: (1) the quantized filter\´s frequency response closely matches the unquantized filter\´s frequency response (in both magnitude and phase); and (2) the required hardware remains small and fast.
  • Keywords
    FIR filters; cascade networks; quantisation (signal); FIR filter design; compensating zeros quantization; finite impulse response filter design; finite word-length effects; floating-point filter design; frequency response; multiplierless filter design; quantization effects; quantized filter; unquantized filters; Algorithm design and analysis; Digital signal processing; Finite impulse response filter; Frequency; Hardware; IIR filters; Lattices; Quantization; Signal design; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2003.1253556
  • Filename
    1253556