• DocumentCode
    3096857
  • Title

    Efficient Recursive Digital Filters with Variable Magnitude Characteristics

  • Author

    Yli-Kaakinen, Juha ; Saramaki, Tapio

  • Author_Institution
    Inst. of Signal Process., Tampere Univ. of Technol.
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    This paper considers designing in the minimax sense complementary low-pass/high-pass recursive digital filters with variable magnitude characteristics. A filter structure based on the parallel connection of two variable fractional delay all-pass filters is proposed for implementing these filters. The filter optimization is performed in two basic steps. First, an initial filter is generated using a simple design scheme. Second, this filter is used as a start-up solution for further optimization being carried out by an efficient constrained nonlinear optimization algorithm. Examples are included for illustrating the efficiency of the proposed design scheme. In addition, the performance and the complexity of the proposed variable recursive digital filters are compared with those of the other variable recursive digital filters proposed in the literature. This comparison shows that the number of multipliers for the proposed filters is less than 15 percent compared with other existing structures
  • Keywords
    all-pass filters; high-pass filters; low-pass filters; minimax techniques; recursive filters; fractional delay all-pass filter; high-pass recursive digital filter; low-pass filter; magnitude characteristics; minimax; multipliers; optimization; parallel connection; start-up solution; Constraint optimization; Delay; Digital filters; Digital signal processing; Frequency; Low pass filters; Minimax techniques; Polynomials; Sampling methods; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic
  • Conference_Location
    Rejkjavik
  • Print_ISBN
    1-4244-0412-6
  • Electronic_ISBN
    1-4244-0413-4
  • Type

    conf

  • DOI
    10.1109/NORSIG.2006.275268
  • Filename
    4052263