• DocumentCode
    165905
  • Title

    FPGA implementation of dynamically tunable filters

  • Author

    Senthilkumar, E. ; Manikandan, J. ; Agrawal, Vinod Kumar

  • Author_Institution
    Electron. & Instrum. Eng., Karunya Univ., Coimbatore, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    1852
  • Lastpage
    1857
  • Abstract
    Digital Signal Processing techniques are extensively used in a large number of applications such as communication and multimedia and filtering concepts are considered as one of the basic elements needed for digital signal processing. This has motivated the design of digital filters for digital signal processors (DSPs) and Field Programmable Gate Arrays (FPGAs) based system design. The cut-off frequencies of these filters vary based on the requirements of application. In this paper, FPGA implementation of dynamically tunable Finite Impulse Response (FIR) filter is proposed, wherein the cut-off frequency can be dynamically changed on-the-fly without any need to program the FPGA. The proposed work is carried out to design high pass, low pass, band pass and band stop filters. The performance of the filters designed is evaluated for direct form structure and optimized structure using Virtex-5 FPGA board.
  • Keywords
    FIR filters; digital signal processing chips; field programmable gate arrays; DSP; FIR filter; Virtex-5 FPGA board; digital filters; digital signal processing techniques; digital signal processors; dynamically tunable filters; field programmable gate arrays; finite impulse response filter; Band-pass filters; Cutoff frequency; Field programmable gate arrays; Finite impulse response filters; Hardware; MATLAB; FIR Filters; FPGA; Signal Processing; Tunable Filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968223
  • Filename
    6968223