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Uso del conocimiento estadístico de la señal para la mejora de la velocidad de convergencia de los algoritmos adaptativos de gradiente

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  • معلومة اضافية
    • Publisher Information:
      Consejo Superior de Investigaciones Científicas (CSIC) 1986
    • نبذة مختصرة :
      This work deals with the use of previous or colateral information to improve the behaviour of adaptive algorithms. The study is made on gradient-based methods due to the relatively simple and good performances that they use to exhibit. This paper shows that the complete knowledge of the data at the input of the adaptive filter (and in consequence of its autocorrelation matrix and its inverse) can be used to modify the classic L. M.S. algorithm leading to better expressions for the gradient and a new adaptive 'step size'. Finally, the description is completed with the comparison between the variation ranges and a natural generalization of 'step size' parameter is obtained.
      Peer Reviewed
      Postprint (published version)
    • الموضوع:
      Àrees temàtiques de la UPC::Enginyeria de la telecomunicació; Algorithms; Algorismes; Conference report
    • Availability:
      Open access content. Open access content
      http://creativecommons.org/licenses/by-nc-nd/3.0/es
      Open Access
    • Note:
      3 p.
      application/pdf
      Spanish
    • Other Numbers:
      HGF oai:upcommons.upc.edu:2117/85815
      Vazquez, G., Gasull, A., Lagunas, M. Uso del conocimiento estadístico de la señal para la mejora de la velocidad de convergencia de los algoritmos adaptativos de gradiente. A: Simposium Nacional de la Unión Científica Internacional de Radio. "URSI 1986: III Simposium Nacional de la Unión Científica Internacional de Radio: Gerona, Escuela Universitaria Politécnica: 22, 23 y 24 de septiembre de 1986". Pamplona, Navarra: Consejo Superior de Investigaciones Científicas (CSIC), 1986, p. 245-247.
      947259475
    • Contributing Source:
      UNIV POLITECNICA DE CATALUNYA
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.ocn947259475
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