• DocumentCode
    1089536
  • Title

    Analog decoding using a gradient-type neural network

  • Author

    Ciocoiu, Iulian B.

  • Author_Institution
    Fac. of Electron. & Telecommun., Tech. Univ. Iasi, Romania
  • Volume
    7
  • Issue
    4
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    1034
  • Lastpage
    1038
  • Abstract
    The problem of analog (soft) decision decoding of block codes by means of neural networks is addressed. The proposed solution is based on a recurrent high-order network implementing a special gradient-type system. Simulation results for two different codes are reported, showing improved performances over the classical hard decision decoder
  • Keywords
    block codes; decoding; recurrent neural nets; analog decision decoding; block codes; gradient-type neural network; recurrent high-order network; Artificial neural networks; Block codes; Circuits; Decoding; Frequency; Hamming distance; Neural networks; Neurons; Optical computing; Optical signal processing;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.508946
  • Filename
    508946
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1089536