• DocumentCode
    750035
  • Title

    Filter digitization based on polynomial interpolation

  • Author

    Rudko, Michael

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Union Coll., Schenectady, NY, USA
  • Volume
    43
  • Issue
    3
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    778
  • Lastpage
    781
  • Abstract
    Describes a polynomial interpolation based filter digitization technique which aims to preserve an analog system´s frequency response. It is shown that the procedure is capable of digitizing non-bandlimited, including highpass, analog filters. In most cases considered, it results in digital filters whose frequency response is closer to the frequency response of the analog filter than that of filters designed using impulse invariance or the bilinear transformation
  • Keywords
    approximation theory; digital filters; filtering theory; frequency response; high-pass filters; interpolation; polynomials; analog filters; digital filters; filter digitization; frequency response; highpass filters; non-bandlimited filters; polynomial interpolation; Computational modeling; Digital filters; Digital simulation; Digital systems; Frequency domain analysis; Frequency response; Interpolation; Polynomials; Signal processing; Stability criteria;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.370634
  • Filename
    370634