• DocumentCode
    2223573
  • Title

    Variable digital filter design with least square criterion subject to peak gain constraints

  • Author

    Hai Huyen Dam ; Cantoni, Antonio ; Kok Lay Teo ; Nordholm, Sven

  • Author_Institution
    Western Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Crawley, WA, Australia
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Variable digital filters (VDFs) are useful for various signal processing and communication applications where the frequency characteristics, such as fractional delays and cutoff frequencies, can be varied online. In this paper, we present a formulation that allows the trade-off between the integral squared error and the maximum deviation from the desired response in the passband and stopband. With this formulation, the maximum deviation can be reduced below the least square solution with a slight change in the performance of the integral squared error. Similarly, the total square error can be reduced below the minmax solution with a minor change in the maximum deviation from the minmax solution. Numerical schemes with adaptive grid size are presented for solving the optimization problems.
  • Keywords
    digital filters; least mean squares methods; minimax techniques; adaptive grid size; integral squared error; least square criterion; minmax solution; peak gain constraints; total square error; variable digital filter design; Abstracts; Receivers; Speech; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071562