• DocumentCode
    2349703
  • Title

    Fast method to detect specific frequencies in monitored signal

  • Author

    Jaber, Marwan A. ; Massicotte, Daniel

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
  • fYear
    2010
  • fDate
    3-5 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Discrete Fourier Transform (DFT) is a mathematical procedure that stands at the center of the processing that takes place inside a Digital Signal Processor. It has been known and argued through the literatures that the Fast Fourier Transform (FFT) is useless in detecting a specific frequency in a monitored signal because most of the computed results are ignored. In this paper we will present an efficient FFT based method to detect specific frequencies in a monitored signal which is compared to the most frequently used method ¿the Goertzel´s Algorithm¿. Parallel implementation structure show a fast computation method compared to the Goertzel´s algorithm. Computational speedup gains of r using radix-r butterfly are shown.
  • Keywords
    digital signal processing chips; discrete Fourier transforms; signal detection; Goertzel´s algorithm; digital signal processor; discrete Fourier transform; fast Fourier transform; monitored signal; radix-r butterfly; specific frequency detection; Concurrent computing; Digital signal processing; Discrete Fourier transforms; Fast Fourier transforms; Fault detection; Frequency; Monitoring; Signal processing; Signal processing algorithms; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on
  • Conference_Location
    Limassol
  • Print_ISBN
    978-1-4244-6285-8
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2010.5463480
  • Filename
    5463480