• DocumentCode
    3146044
  • Title

    Multibit decoding/encoding of binary codes using memory based architectures

  • Author

    Mukherjee, Amar ; Bheda, Hemant ; Bassiouni, M.A. ; Acharya, Tinku

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    1991
  • fDate
    8-11 Apr 1991
  • Firstpage
    352
  • Lastpage
    361
  • Abstract
    The authors present new memory based architectures for the design of special purpose hardware for real-time compression and decompression of data. The decode/encode tree of any binary code is mapped on to a memory device that corresponds to simultaneous decoding/encoding of multiple bits. The hardware is programmable and adaptable and yields a high compression rate. Using 1 μm CMOS process technology, this could lead easily to over 100 Mbit/s compression rate for the JPEG baseline compression scheme. Associated with the memory map, a new binary string alignment problem called the contiguous binary superstring is formulated and a heuristic algorithm is developed to solve it. An efficient algorithm for this problem is posed as an open question
  • Keywords
    CMOS integrated circuits; binary sequences; data compression; decoding; encoding; integrated memory circuits; memory architecture; problem solving; real-time systems; CMOS process technology; binary codes; binary string alignment; compression rate; contiguous binary superstring; decode/encode tree; heuristic algorithm; memory based architectures; real-time compression and decompression of data; simultaneous decoding/encoding of multiple bits; Binary codes; Binary trees; Computer architecture; Data compression; Decoding; Encoding; Hardware; Image coding; Memory architecture; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1991. DCC '91.
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-9202-2
  • Type

    conf

  • DOI
    10.1109/DCC.1991.213345
  • Filename
    213345