%0 Report %1 esparcia:1995:95012 %A Sharman, K. C. %A Esparcia-Alcazar, A. I. %A Li, Y. %C Glasgow G12 8QQ, Scotland %D 1995 %K algorithms, annealing, digital genetic networks neural processing, programming, signal simulated %N CSC-95012 %T Evolving Digital Signal Processing Algorithms by Genetic Programming %U http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs95012.html %X 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.

@techreport{esparcia:1995:95012, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Glasgow G12 8QQ, Scotland}, author = {Sharman, K. C. and Esparcia-Alcazar, A. I. and Li, Y.}, biburl = {https://www.bibsonomy.org/bibtex/29c366678ba4021fb7010a35f73b33145/brazovayeye}, institution = {Faculty of Engineering}, interhash = {e8cc06e9746cbd0a96922a354c36929e}, intrahash = {9c366678ba4021fb7010a35f73b33145}, keywords = {algorithms, annealing, digital genetic networks neural processing, programming, signal simulated}, month = {31 March}, notes = {Also submitted to: Proc. First IEE/IEEE Int. Conf. on GA in Eng. Syst.: Innovations and Appl., Sheffield, Sept. 1995, pp.473-480.}, number = {CSC-95012}, size = {8 pages}, timestamp = {2008-06-19T17:39:17.000+0200}, title = {Evolving Digital Signal Processing Algorithms by Genetic Programming}, type = {Technical Report}, url = {http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs95012.html}, year = 1995 }