• DocumentCode
    298372
  • Title

    Digital compressor structure in neural network implementation using complex complementary pass-transistor logic (C2PL)

  • Author

    Zhang, D. ; Kamel, M. ; Elmasry, M.I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    1
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    473
  • Abstract
    In this paper, a compressor structure based on complex complementary pass-transistor logic (C2PL) is presented. Some types of 3-2 compressors in C2PL are achieved and a number of experiments are conducted to optimize their performance. Two typical compressor building blocks, the 4-2 compressor and 7-3 compressor, are built and their digital neural network (DNN) applications are discussed. Compared with the complementary pass-transistor logic (CDL) designs, our simulations show that the C2PL compressor has the best performances in power, delay and number of transistors
  • Keywords
    digital arithmetic; integrated logic circuits; logic circuits; neural chips; C2PL; complex complementary pass-transistor logic; digital compressor; digital neural network; simulation; CMOS logic circuits; CMOS technology; Design engineering; Intelligent networks; Logic design; Neural networks; Neurons; Semiconductor device modeling; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519282
  • Filename
    519282
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=298372