Synthesis of low coefficient sensitivity digital filters using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Kazuyoshi Uesaka and Masayuki Kawamata",
  title =        "Synthesis of low coefficient sensitivity digital
                 filters using genetic programming",
  booktitle =    "Proceedings of the 1999 IEEE International Symposium
                 on Circuits and Systems, ISCAS '99",
  year =         "1999",
  volume =       "3",
  pages =        "307--310",
  address =      "Orlando, FL, USA",
  month =        "30 " # may # "-2 " # jun,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "4 pages",
  abstract =     "This paper proposes a new approach to the synthesis of
                 low coefficient sensitivity digital filters using
                 Genetic Programming (GP). GP is applied to the
                 synthesis problem by establishing a mapping between the
                 S-expressions and the filter structures. Genetic
                 operators are then applied to the S-expressions in
                 order to change the connections between the elements in
                 the filter structures. The fitness measure that
                 includes the coefficient sensitivity enables the
                 selection operation to choose low sensitivity filter
                 structures. In this paper, two coefficient sensitivity
                 measures are used-the magnitude sensitivity and the
                 relative sensitivity. A numerical example is presented
                 to demonstrate that the sensitivity of the filter
                 structure synthesized by GP is lower than that of other
                 low coefficient sensitivity filter structures proposed
                 so far",

Genetic Programming entries for Kazuyoshi Uesaka Masayuki Kawamata