An Algorithm Using Genetic Programming for the Compensation of Nonlinear Distortion Based on Wiener System Model

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Xie:2004:fusee,
  author =       "Changsong Xie and Xuhui Li",
  title =        "An Algorithm Using Genetic Programming for the
                 Compensation of Nonlinear Distortion Based on Wiener
                 System Model",
  journal =      "Facta universitatis - series: Electronics and
                 Energetics",
  year =         "2004",
  volume =       "17",
  number =       "2",
  pages =        "219--229",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, linear
                 time-invariant system, memoryless nonlinear system,
                 wiener model, distortion compensation",
  ISSN =         "0353-3670",
  publisher =    "University of Nis, Serbia",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.536.1627",
  URL =          "http://facta.junis.ni.ac.rs/eae/fu2k42/6xie.html",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.536.1627",
  URL =          "https://dokumente.unibw.de/pub/bscw.cgi/d1223025/paper_ChangFacta_vol17,Nr.2,August2004.pdf",
  size =         "12 pages",
  abstract =     "In this paper we presented an iteration algorithm
                 using genetic programming (GP) to get the Wiener model
                 of a nonlinear system and then to compensate the
                 nonlinear distortion. The GP is used to identify the
                 linear time-invariant (LTI) part and memoryless
                 nonlinear (MLNL) part of the Wiener model of the object
                 system. By means of iteration, the identification
                 precision will be improved gradually with the iteration
                 steps. In order to compensate the nonlinearity a
                 distortion compensation function (DCF) will be
                 estimated also by means of GP. If the object system can
                 be well described using Wiener model, this algorithm
                 converges. The experiment results show that the
                 compensation precision is fairly high.",
  notes =        "GP Grammar and Constants Optimization.
                 http://forschung.unibw.de down Oct 2017 See also
                 \cite{DBLP:phd/de/Li2003}

                 Editor-in-Chief Ninoslav Stojadinovic Contact person:
                 publisher address Aleksandra Medvedeva 14, 18000 Nis,
                 e-mail ninoslav.stojadinovic@elfak.ni.ac.rs phone
                 018/588-442

                 http://casopisi.junis.ni.ac.rs/index.php/FUElectEnerg/issue/archive",
}

Genetic Programming entries for Changsong Xie Xuhui Li

Citations