Evolving Digital Signal Processing Algorithms by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @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