Digital IIR filters design using differential evolution algorithm with a 
controllable probabilistic population size

Zhu, W.; Fang, J.; Tang, Y.; Zhang, W.; Du, W.

doi:10.1371/journal.pone.0040549

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Digital IIR filters design using differential evolution algorithm with a controllable probabilistic population size

Authors

Zhu, W.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Fang, J.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Tang, Y.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Zhang, W.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Du, W.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

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Zhu, W., Fang, J., Tang, Y., Zhang, W., Du, W. (2012): Digital IIR filters design using differential evolution algorithm with a controllable probabilistic population size. - PloS ONE, 7, e40549.
https://doi.org/10.1371/journal.pone.0040549

Cite as: https://publications.pik-potsdam.de/pubman/item/item_18046

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