• DocumentCode
    1119056
  • Title

    Direct approach to design of PCAS filters with combined gain and phase specification

  • Author

    Lawson, S.

  • Author_Institution
    Dept. of Eng., Warwick Univ., Coventry, UK
  • Volume
    141
  • Issue
    3
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    167
  • Abstract
    New approaches have been reported for the design of recursive digital filters with prescribed gain and delay using classical optimisation, simulated annealing and genetic algorithms. The filter structure used consisted of two allpass subfilters in parallel (PCAS). PCAS filters are used because of their low complexity and roundoff noise as well as their ability to realise nonminimum-phase transfer functions. An approach is described in which a set of linear equations are formed for each subfilter using a result due to Gregorian and Temes (1978). By imposing certain constraints on these equations, which relate to the filtering characteristics required, they may be solved yielding the coefficients of the two transfer functions. Several examples are given for the case of approximately linear phase. The L2 norm is used as a metric to enable comparison with optimisation techniques. General comments are made on the relationship between the various parameters such as ap, as, filter order, phase slope, etc. The design of PCAS filters with arbitrary phase is discussed
  • Keywords
    all-pass filters; digital filters; filtering and prediction theory; genetic algorithms; network parameters; simulated annealing; transfer functions; L2 norm; PCAS filters; coefficients; delay; filter order; filter parameters; filter structure; filtering characteristics; gain specification; genetic algorithms; linear equations; linear phase; nonminimum-phase transfer functions; optimisation; parallel allpass subfilters; phase slope; phase specification; recursive digital filters; roundoff noise; simulated annealing;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19941249
  • Filename
    296569