• DocumentCode
    838551
  • Title

    A New Approach for Estimating the Parameters of the {\\rm K} -Distribution Using Fuzzy-Neural Networks

  • Author

    Mezache, A. ; Soltani, F.

  • Author_Institution
    Dept. d´´Electron., Univ. de Constantine, Constantine
  • Volume
    56
  • Issue
    11
  • fYear
    2008
  • Firstpage
    5724
  • Lastpage
    5728
  • Abstract
    In this correspondence, we introduce a new approach based on fuzzy neural network (FNN) for estimating the parameters of the K-distribution. The FNN proposed estimator combines the Raghavan´s and maximum-likelihood and method of moments (ML/MOM) methods and offers a lower variance of parameter estimates when compared with the existing non-maximum-likelihood methods.
  • Keywords
    fuzzy neural nets; method of moments; parameter estimation; signal processing; K-distribution; Raghavan method; fuzzy-neural networks; maximum-likelihood method; method of moments; parameter estimation; ${rm K}$-distribution; Fuzzy neural network (FNN); Genetic Algorithm (GA); K-distribution; genetic algorithm (GA); shape parameter;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2008.929653
  • Filename
    4602542
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=838551