Blind Source Separation Based on Covariance Ratio and Artificial Bee Colony Algorithm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="484327.fig.006a" src="https://static.hindawi.com/articles/mpe/volume-2014/484327/figures/484327.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Speech</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="484327.fig.006b" src="https://static.hindawi.com/articles/mpe/volume-2014/484327/figures/484327.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Music</td></tr></table></td></tr></table>

<table>MSE for different objective functions.</table>

Mathematical Problems in Engineering

fig6

Figure 6

Figure 6: Blind Source Separation Based on Covariance Ratio and Artificial Bee Colony Algorithm 