• DocumentCode
    2038734
  • Title

    Improving the Performance of Fractional Order Differential Filter by the Fractional Sampling Delay

  • Author

    Zhu-Zhong Yang ; Ji-Liu Zhou ; Bin-Yu Yan

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Sichuan Univ., Chengdu
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The method of reducing the integral interval by using the fractional order delay filter to improve the performance of fractional differential filter is put forward in this paper. Firstly, in terms of the basic definition of integral the paper generalizes the sampling interval of integral operator from the integral order to fractional order and gets the integral operator whose sampling interval is fractional order. By the Lagrange FIR or IIR fractional delay filter we can transform the fractional order term of the operator obtained above to the integral order term. Then an half sampling delay IIR filter of third order can be chosen as new operator for its better performance. Lastly, the design of fractional order digital filter is implemented by the method of CFE. By the comparative analysis, it is shows that the frequency response of improved fractional order digital differentiator is more close to the ideal fractional order differential filter, which indicates the method put forward in this paper can improve the performance of IIR-type fractional order differential filter obviously.
  • Keywords
    FIR filters; IIR filters; calculus; delays; network synthesis; IIR filter; Lagrange FIR; fractional order delay filter; fractional order differential filter; fractional sampling delay; Delay; Digital filters; Educational institutions; Filtering theory; Finite impulse response filter; IIR filters; Information filtering; Information filters; Lagrangian functions; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072909
  • Filename
    5072909