• DocumentCode
    377091
  • Title

    Comparative analysis of neural network filters and adaptive Volterra filters

  • Author

    Krusienski, D.J. ; Jenkins, W.K.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    49
  • Abstract
    This paper analyzes the relationship between the traditional adaptive Volterra filter (AVF) and the multilayer perceptron (MLP) neural network filter. These two filter structures are inherently similar in form and function. This relationship is clarified by analyzing the details of both methods within the context of adaptive nonlinear filtering
  • Keywords
    Volterra series; adaptive filters; circuit simulation; feedforward neural nets; multilayer perceptrons; nonlinear filters; nonlinear network analysis; AVF; MLP neural network filter; adaptive Volterra filters; adaptive nonlinear filtering; filter form; filter function; filter structures; multilayer perceptron neural network filter; neural network filters; Adaptive filters; Adaptive systems; Filtering; Kernel; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Nonlinear filters; Nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-7150-X
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2001.986112
  • Filename
    986112
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=377091