Evolving Digital Signal Processing Algorithms by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{esparcia:1995:95012,

• 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

Citations