Gaining insight into evolutionary programming through landscape visualization: An investigation into IIR filtering-Reference-Cited by-同舟云学术

Gaining insight into evolutionary programming through landscape visualization: An investigation into IIR filtering

Published:1997 Issue: Volume: Page:407-417
ISSN:0302-9743
Container-title:Evolutionary Programming VI
language:
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Author:

Chellapilla Kumar,Fogel David B.,Rao Sathyanarayan S.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0014829

Reference12 articles.

1. K. Chellapilla, D. B. Fogel, S. S. Rao (1996) “Optimizing IIR Filters using Evolutionary Programming,” Adaptive Distr. Parallel Computing Symposium, pp 252–258, Dayton OH.

2. Q. Ma, C. F. N. Cowan (1996) “Genetic algorithms applied to the adaptation of IIR filters,” Sigal Processing, vol. 48, pp 155–163.

3. R. Nambiar and P. Mars (1992) “Genetic and annealing approaches to adaptive digital filtering,” Proc. 26th Asilomar Conf. on Signals, Systems and Computers, IEEE Computer Society Press, Los Altos, CA, pp. 871–875.

4. K. Steiglitz and L. E. McBride (1965) “A technique for the identification of linear systems,” IEEE Trans. Automat. Control, vol. AC-10, pp. 461–464.

5. H. Fan and W.K. Jenkins (1986) “A new adaptive IIR filter”, IEEE Trans. Circuits Systems, vol. CAS-33, pp 939–947.

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1. Evolution of Digital Filters Using a Gate Array Model;Evolutionary Image Analysis, Signal Processing and Telecommunications;1999

2. Evolving IIR filters in multipath environments;Lecture Notes in Computer Science;1998