• Title of article

    Digital implementation of hierarchical vector quantization

  • Author/Authors

    R.، Zunino, نويسنده , , S.، Ridella, نويسنده , , M.، Bracco, نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    -1071
  • From page
    1072
  • To page
    0
  • Abstract
    A formal methodology drives the design and realization of a digital very large-scale integration (VLSI) device supporting hierarchical vector quantization (HVQ) in computation-intensive coding applications. The hardwareoriented model-selection approach enhances the Minimum Description Length criterion with circuit-related aspects that allow consistent and efficient design. The resulting model parameters drive the subsequent realization in digital circuitry, which has first been implemented in field-programmable gate array (FPGA) technology to verify its correctness. The eventual VLSI realization results in an HVQ chip providing costeffective, computationally efficient real-time performances. Real-world applications support the consistency of the vector quantization approach and the effectiveness of the HVQ device.
  • Keywords
    (alpha)-Amylase , Bacillus subtilis , enzyme purification , Thermophilic bacteria , hydrolytic enzyme , histidine modification
  • Journal title
    IEEE TRANSACTIONS ON NEURAL NETWORKS
  • Serial Year
    2003
  • Journal title
    IEEE TRANSACTIONS ON NEURAL NETWORKS
  • Record number

    62740