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.
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Slowik, A., Bialko, M. (2008). Design and Optimization of IIR Digital Filters with Non-standard Characteristics Using Continuous Ant Colony Optimization Algorithm. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_39
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DOI: https://doi.org/10.1007/978-3-540-87881-0_39
Publisher Name: Springer, Berlin, Heidelberg
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