• DocumentCode
    258639
  • Title

    An evaluation of the Goertzel Algorithm for low-power, embedded systems

  • Author

    Brown, Shannon ; Timoney, Joe ; Lysaght, Tom

  • Author_Institution
    Dept. of Comput. Sci., Nat. Univ. of Ireland, Maynooth, Ireland
  • fYear
    2013
  • fDate
    26-27 June 2013
  • Firstpage
    357
  • Lastpage
    361
  • Abstract
    The Goertzel Algorithm provides an efficient mechanism for tone detection in signal processing. However, on Wireless Sensor Network nodes, there is often not sufficient processing power to implement this using floating-point arithmetic, so fixed-point implementations are used. In this paper we compare the quality of the results for a typical audio application with different resolutions of fixed-point support using MATLAB. We also provide performance figures based on implementing this on a representative sensor node platform. Our results show that, for this application-space, 16-bit fixed-point arithmetic provides the best tradeoff of accuracy against performance. No previous work has addressed this specific aspect of implementating the Goertzel algorithm.
  • Keywords
    audio signal processing; embedded systems; fixed point arithmetic; floating point arithmetic; signal detection; wireless sensor networks; Goertzel algorithm; MATLAB; audio application; embedded systems; fixed-point arithmetic; fixed-point implementations; fixed-point support; floating-point arithmetic; low-power systems; representative sensor node platform; signal processing; storage capacity 16 bit; tone detection; wireless sensor network nodes; Fixed-Point; Goertzel Algorithm; Performance; WSN;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Irish Signals & Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014). 25th IET
  • Conference_Location
    Limerick
  • Type

    conf

  • DOI
    10.1049/cp.2014.0714
  • Filename
    6912785