• DocumentCode
    1135836
  • Title

    Design for optimum classical filters

  • Author

    Corral, C.A. ; Lindquist, C.S.

  • Author_Institution
    Motorola Inc., Boynton Beach, FL, USA
  • Volume
    149
  • Issue
    56
  • fYear
    2002
  • Firstpage
    291
  • Lastpage
    300
  • Abstract
    Filter optimisation is the improvement of one or more characteristics of a filter. Such improvement is beneficial to the design in some sense. The work request focuses on the magnitude response of classical filters that are polynomial approximations to the ideal ´brick-wall´ filter. Given a set of passband and stopband frequency requirements, optimisation then becomes the achievement of any combination of the following criteria while maintaining filter order fixed: maximisation of the band-edge selectivity; minimisation of the passband ripple; maximisation of the stopband attenuation. Such optimisation results in new pole/zero locations that implement the above features without increasing filter complexity. A graphical technique for specifying optimum filters in the above sense is presented exploiting the special capability of filter nomographs. Tradeoffs in the criteria above are related to critical pole-pair Q and filter delay responses. A design example is presented to illustrate the power and ease of designing classical filters with optimum magnitude responses.
  • Keywords
    band-pass filters; circuit optimisation; delays; nomograms; poles and zeros; polynomial approximation; transfer functions; band-edge selectivity; critical pole-pair Q; filter complexity; filter delay responses; filter optimisation; magnitude response; nomographs; optimum classical filters; passband frequency requirements; passband ripple; pole/zero locations; polynomial approximations; stopband attenuation; stopband frequency requirements;
  • fLanguage
    English
  • Journal_Title
    Circuits, Devices and Systems, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2409
  • Type

    jour

  • DOI
    10.1049/ip-cds:20020500
  • Filename
    1176570