Design and Optimization of IIR Digital Filters with Non-standard Characteristics Using Continuous Ant Colony Optimization Algorithm

Authors:
Adam Slowik;Michal Bialko
Affiliations:
Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland 75-453;Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland 75-453
Venue:
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Year:
2008

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Abstract

In this paper method of design and optimization of stable IIR digital filters with non-standard amplitude characteristics using continuous ant colony optimization algorithm ACO R is presented. In proposed method (named ACO-IIRFD) dynamical changes of parameters in designed filters are introduced. Due to these dynamical changes of filter parameters, design of IIR digital filters with small deviations between designed filter characteristics and assumed characteristics is possible. Three IIR digital filters with amplitude characteristics: linearly-falling, linearly-growing, and non-linearly-growing, which can have application in amplitude equalizers, are designed using proposed method.