• DocumentCode
    950203
  • Title

    Design of efficient digital filters satisfying arbitrary loss and delay specifications

  • Author

    Lawson, S.S. ; Wicks, A.

  • Author_Institution
    Warwick Univ., Coventry, UK
  • Volume
    139
  • Issue
    5
  • fYear
    1992
  • fDate
    10/1/1992 12:00:00 AM
  • Firstpage
    611
  • Lastpage
    620
  • Abstract
    Designing recursive digital filters satisfying both arbitrary loss and delay constraints is a classical problem. There is no known general analytical solution that can yield coefficient values. Many techniques have been proposed that offer various advantages, and some of these are reviewed in the paper. If, in addition, the particular application requires a high sampling rate, as in, for example, video and sonar systems, then it is important that the structure is efficient in the sense of a minimum number of arithmetic operations for a given order. Furthermore, in some sonar applications, there is a further requirement for bandpass and multiple bandpass filters. To this end, a filter structure made up from a parallel arrangement of two allpass subfilters is considered in the paper. Such structures were used originally in multi-rate problems but have also been applied to conventional filtering. A new approach to design is presented that uses a dual-line template in conjunction with simulated annealing, which gives a finite wordlength solution directly. The authors conclude with several detailed design examples showing the efficacy of the proposed technique
  • Keywords
    band-pass filters; delays; digital filters; filtering and prediction theory; low-pass filters; simulated annealing; allpass subfilters; bandpass filters; delay specifications; digital filters; dual-line template; finite wordlength solution; loss specifications; parallel arrangement; recursive filters; simulated annealing;
  • fLanguage
    English
  • Journal_Title
    Circuits, Devices and Systems, IEE Proceedings G
  • Publisher
    iet
  • ISSN
    0956-3768
  • Type

    jour

  • Filename
    163734