• DocumentCode
    2028331
  • Title

    Power Driven Reconfigurable Complex Continuous Wavelet Transform

  • Author

    Aydin, Nizamettin

  • Author_Institution
    Comput. Eng. Dept., Bahcesehir Univ.
  • fYear
    2006
  • fDate
    15-18 June 2006
  • Firstpage
    109
  • Lastpage
    113
  • Abstract
    A low power VLSI implementation of reconfigurable complex continuous wavelet transform (CWT) algorithm to generate the two dimensional time scale representation of a one dimensional signal is introduced. The CWT is computationally intensive process. The CWT processor presented in this paper employs a bank of correlators. The correlators which are not needed in a certain transform are disabled to save power. So power consumption of the CWT processor depends on the number of scales. The processor has been implemented and synthesized using ALCATEL 035mu technology. Matlab, RTL and netlist simulation results verify that the implemented algorithm has the potential to be utilized as a wavelet coprocessor for fast time-scale analysis in real-time
  • Keywords
    VLSI; correlators; low-power electronics; microprocessor chips; reconfigurable architectures; signal representation; wavelet transforms; ALCATEL 035mu technology; Matlab; RTL; low power VLSI implementation; netlist simulation; power consumption; power driven reconfigurable complex continuous wavelet transform processor; real-time time-scale analysis; reconfigurable complex continuous wavelet transform algorithm; time scale signal representation; wavelet coprocessor; Analytical models; Continuous wavelet transforms; Coprocessors; Correlators; Energy consumption; Power generation; Signal generators; Very large scale integration; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2006. AHS 2006. First NASA/ESA Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    0-7695-2614-4
  • Type

    conf

  • DOI
    10.1109/AHS.2006.58
  • Filename
    1638148