• DocumentCode
    841719
  • Title

    Efficient VLSI Architecture for Lifting-Based Discrete Wavelet Packet Transform

  • Author

    Wang, Chao ; Gan, Woon Seng

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
  • Volume
    54
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    422
  • Lastpage
    426
  • Abstract
    This brief presents a novel very large-scale integration (VLSI) architecture for discrete wavelet packet transform (DWPT). By exploiting the in-place nature of the DWPT algorithm, this architecture has an efficient pipeline structure to implement high-throughput processing without any on-chip memory/first-in first out access. A folded architecture for lifting-based wavelet filters is proposed to compute the wavelet butterflies in different groups simultaneously at each decomposition level. According to the comparison results, the proposed VLSI architecture is more efficient than the previous proposed architectures in terms of memory access, hardware regularity and simplicity, and throughput. The folded architecture not only achieves a significant reduction in hardware cost but also maintains both the hardware utilization and high-throughput processing with comparison to the direct mapped tree-structured architecture
  • Keywords
    VLSI; discrete wavelet transforms; filtering theory; pipeline arithmetic; VLSI architecture; high-throughput processing; lifting-based discrete wavelet packet transform; lifting-based wavelet filters; pipeline structure; very large-scale integration architecture; wavelet butterflies; Computer architecture; Costs; Discrete wavelet transforms; Filters; Hardware; Large scale integration; Pipelines; Throughput; Very large scale integration; Wavelet packets; Discrete wavelet packet transform (DWPT); lifting scheme; pipeline architecture; very large-scale integration (VLSI);
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Express Briefs, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-7747
  • Type

    jour

  • DOI
    10.1109/TCSII.2007.892410
  • Filename
    4182515