• DocumentCode
    3382533
  • Title

    Multi-layer adaptive filtering

  • Author

    Faraj, Z. ; Kahla, M. Ibn ; Castanie, F.

  • Author_Institution
    ENSEEIHT-GAPSE, Toulouse, France
  • fYear
    1992
  • fDate
    7-9 Oct 1992
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    The structure of the multilayer adaptive filter is similar to that of a multilayer perceptron with an input layer to which signal samples are presented, an output layer where the estimated signal is obtained, and one or more intermediate layers of nodes. This paper describes the multi-layer adaptive algorithm, and numerical examples illustrate its performances
  • Keywords
    adaptive filters; backpropagation; feedforward neural nets; filtering and prediction theory; input layer; intermediate layers of nodes; multilayer adaptive filter; multilayer perceptron; output layer; performances; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Equations; Error correction; Ferroelectric films; Least squares approximation; Multilayer perceptrons; Nonvolatile memory; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0508-6
  • Type

    conf

  • DOI
    10.1109/SSAP.1992.246847
  • Filename
    246847
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3382533