Optimization of Kurtosis in the Extend-Infomax Blind Signal Separation Algorithm

<table class="table-group" id="tab10"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Statistic</td><td class="align_center">df1</td><td class="align_center">df2</td><td class="align_center">Sig</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Welch</td><td class="align_center">4.622</td><td class="align_center">5</td><td class="align_center">11.117</td><td class="align_center">0.016</td></tr><tr><td class="align_left">Brown–Forsythe</td><td class="align_center">6.364</td><td class="align_center">5</td><td class="align_center">7.008</td><td class="align_center">0.015</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>One-way ANOVA analysis of SN2 at different kurtosis levels.</div>

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Table 10

Table 10: Optimization of Kurtosis in the Extend-Infomax Blind Signal Separation Algorithm 