Evolving Digital Signal Processing Algorithms by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "K. C. Sharman and A. I. Esparcia-Alcazar and Y. Li",
  title =        "Evolving Digital Signal Processing Algorithms by
                 Genetic Programming",
  institution =  "Faculty of Engineering",
  year =         "1995",
  type =         "Technical Report",
  number =       "CSC-95012",
  address =      "Glasgow G12 8QQ, Scotland",
  month =        "31 " # mar,
  keywords =     "genetic algorithms, genetic programming, simulated
                 annealing, digital signal processing, neural networks",
  URL =          "http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc95012.ps",
  URL =          "http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs95012.html",
  abstract =     "We introduce a novel genetic programming (GP)
                 technique to evolve both the structure and parameters
                 of adaptive digital signal processing algorithms. This
                 is accomplished by defining a set of node functions and
                 terminals to implement the basic operations commonly
                 used in a large class of DSP algorithms. In addition,
                 we show how simulated annealing may be employed to
                 assist the GP in optimising the numerical parameters of
                 expression trees. The concepts are illustrated by using
                 GP to evolve high performance algorithms for detecting
                 binary data sequences at the output of a noisy,
                 non-linear communications channel.",
  notes =        "Also submitted to: Proc. First IEE/IEEE Int. Conf. on
                 GA in Eng. Syst.: Innovations and Appl., Sheffield,
                 Sept. 1995, pp.473-480.",
  size =         "8 pages",

Genetic Programming entries for Kenneth C Sharman Anna Esparcia-Alcazar Yun Li