• DocumentCode
    1153820
  • Title

    Neural network for adaptive FIR filtering

  • Author

    Forti, Meire ; Manetti, Stefano ; Marini, Massimiliano

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Firenze, Italy
  • Volume
    26
  • Issue
    14
  • fYear
    1990
  • fDate
    7/5/1990 12:00:00 AM
  • Firstpage
    1018
  • Lastpage
    1019
  • Abstract
    A new approach to FIR adaptive filtering which is based on the use of a Hopfield-type neural network is proposed. The search for the optimum set of filter weights is not conducted with recursive digital algorithms, but is achieved in real time during the analogue transient of the neural network.
  • Keywords
    adaptive filters; digital filters; neural nets; FIR adaptive filtering; Hopfield-type neural network; adaptive FIR filtering; analogue transient; optimum set of filter weights; search for optimum filter weights;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19900659
  • Filename
    107989
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1153820