• DocumentCode
    1092342
  • Title

    Improved filter sharpening

  • Author

    Hartnett, Richard J. ; Boudreaux-Bartels, G. Faye

  • Author_Institution
    United States Coast Guard Acad., New London, CT, USA
  • Volume
    43
  • Issue
    12
  • fYear
    1995
  • fDate
    12/1/1995 12:00:00 AM
  • Firstpage
    2805
  • Lastpage
    2810
  • Abstract
    We propose a natural extension to Kaiser-Hamming (1977) filter sharpening methods to allow for a piecewise linear desired amplitude change function (ACF). The primary advantages of the proposed ACF over piecewise constant ACFs is that we obtain better control of selective improvement (or degradation) in either the passband or stopband or both, and we are not restricted to applying our methods to filters with piecewise constant pass and stopbands, since linear segments of slope 1 can be used to retain existing filter performance in either passband or stopband. The proposed ACF approximating polynomial (AP) is easy to compute, may be constrained to have simple (or integer) coefficients, and may be expressed as the AP of Kaiser and Hamming plus a correction polynomial. We also provide applications for motivation
  • Keywords
    FIR filters; approximation theory; filtering theory; piecewise-linear techniques; polynomials; FIR filter; approximating polynomial; correction polynomial; degradation; filter performance; filter sharpening methods; integer coefficients; linear segments; passband; piecewise linear amplitude change function; selective improvement; stopband; Design optimization; Digital filters; Finite impulse response filter; Frequency domain analysis; Nonlinear filters; Passband; Piecewise linear approximation; Piecewise linear techniques; Polynomials; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.476422
  • Filename
    476422