19 August 1993 Application of genetic algorithms to infinite-impulse-response adaptive filters
Author Affiliations +
Abstract
Adaptive infmite impulse response filters require the exploration of a multimodal error surface. We describe the use of genetic algorithms for this particular problem and demonstrate that our approach is capable of discovering the global minimum of the performance surface of a multimodal adaptive filter example in a reasonable length of time compared with other methods. We also compare the performance of the genetic algorithm with the recently-proposed method of very fast simulated reannealing.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stuart J. Flockton, Michael S. White, "Application of genetic algorithms to infinite-impulse-response adaptive filters", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152641; https://doi.org/10.1117/12.152641
PROCEEDINGS
6 PAGES


SHARE
KEYWORDS
Digital filtering

Genetic algorithms

Infinite impulse response filters

Optical filters

Nonlinear filtering

Artificial neural networks

Computer simulations

Back to Top