Holistic Biquadratic IIR Filter Design for Communication Systems Using Differential Evolution

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="741251.fig.008a" src="https://static.hindawi.com/articles/jece/volume-2013/741251/figures/741251.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>BER over generations</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="741251.fig.008b" src="https://static.hindawi.com/articles/jece/volume-2013/741251/figures/741251.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Cost function over generations</td></tr></table></td></tr></table>

<table>(a) BER of the best solutions found by the DE iteratively. (b) Cost function over iterations for a single optimisation run. The average cost is computed out of the whole population.</table>

Journal of Electrical and Computer Engineering

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Figure 8

Figure 8: Holistic Biquadratic IIR Filter Design for Communication Systems Using Differential Evolution 