• DocumentCode
    2674130
  • Title

    Lowpass filters realizable as coupled allpasses: design via a new flat delay filter

  • Author

    Selesnick, Ivan M.

  • Author_Institution
    Dept. of Electr. Eng., Polytech.. Univ., Brooklyn, NY, USA
  • fYear
    1998
  • fDate
    5-6 Jun 1998
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    This paper describes a new class of maximally flat lowpass recursive digital filters. The filters are realizable as a parallel sum of two allpass filters, a structure for which low-complexity low-noise implementations exist. Note that, with the classical Butterworth filter of degree N, which can be retrieved as a special case, it is not possible to adjust the delay (or phase-linearity). However, with the more, general class of filters described in this paper, the adjustment of the delay becomes possible, and the trade-off between the delay and the phase-linearity can be chosen. The construction of these lowpass filters depends upon a new maximally flat delay allpole filter, for which the degrees of flatness at ω=0 and ω=π are not necessarily equal. For the coefficients of this flat delay filter, an explicit solution is introduced, which also specializes to a previously known result
  • Keywords
    all-pass filters; delays; low-pass filters; recursive filters; allpass filters; classical Butterworth filter; coupled allpasses; delay; design; flat delay filter; flatness; low-complexity low-noise implementations; lowpass filters; maximally flat delay allpole filter; maximally flat lowpass recursive digital filters; parallel sum; phase-linearity; 1f noise; Artificial intelligence; Band pass filters; Delay; Digital filters; Filtering; Frequency; Linearity; Transfer functions; Transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Digital Filtering and Signal Processing, 1998 IEEE Symposium on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-4957-1
  • Type

    conf

  • DOI
    10.1109/ADFSP.1998.685711
  • Filename
    685711