Design and Optimization of IIR Digital Filters with Non-standard Characteristics Using Continuous Ant Colony Optimization Algorithm-Reference-Cited by-同舟云学术

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

Published: Issue: Volume: Page:395-400
ISSN:0302-9743
Container-title:Artificial Intelligence: Theories, Models and Applications
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Author:

Slowik Adam,Bialko Michal

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-87881-0_39.pdf

Reference11 articles.

1. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer, Heidelberg (1992)

2. Erba, M., Rossi, R., Liberali, V., Tettamanzi, A.G.B.: Digital Filter Design Through Simulated Evolution. In: Proceedings of ECCTD 2001, Espoo, Finland, August 2001, vol. 2, pp. 137–140 (2001)

3. Slowik, A., Bialko, M.: Evolutionary Design of IIR Digital Filters with Non-Standard Amplitude Characteristics. In: 3rd National Conference on Electronics, Kolobrzeg, June 2004, pp. 345–350 (2004)

4. Nurhan, K.: Digital IIR filter design using differential evolution algorithm. EURASIP Journal on Applied Signal Processing 8, 1269–1276 (2005)

5. Lecture Notes in Computer Science;K. Nurhan,2004

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