• DocumentCode
    1880943
  • Title

    VLSI implementation of Mallat´s fast discrete wavelet transform algorithm with reduced complexity

  • Author

    Guo, Yuanbin ; Zhang, Hongzhong ; Wang, Xuguang ; Cavallaro, Joseph R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    320
  • Abstract
    This paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet transform) coefficients using Mallat´s algorithm with reduced complexity. We studied the commonality embedded in the mirror low-pass and high-pass filters of the algorithm and use a PLA as an address generator (PAG) to load the data for cascaded FIR computation. By using an embedded downsampling process in the control signal design, we reduced the complexity by saving storage and computation. The prototyping design is implemented and fabricated using the AMI 1.5 micron CMOS process through the MOSIS service
  • Keywords
    CMOS digital integrated circuits; FIR filters; VLSI; application specific integrated circuits; discrete wavelet transforms; high-pass filters; integrated circuit design; low-pass filters; programmable logic arrays; signal sampling; 1.5 micron; ASIC; CMOS process; DWT; FIR filtering; MOSIS prototyping service; Mallat algorithm; PLA; VLSI implementation; address generator; discrete wavelet transform; embedded downsampling process; high-pass filter; low-pass filter; mirror filters; time-frequency analysis; Computer architecture; Discrete wavelet transforms; Embedded computing; Finite impulse response filter; Low pass filters; Mirrors; Process control; Programmable logic arrays; Signal design; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-7206-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2001.965131
  • Filename
    965131