Chaotic convergence of the decision-directed blind equalization algorithm

► The dynamical behavior of the decision-directed equalization algorithm is analyzed. ► The algorithm is potentially capable of exhibiting limit-cycles or even chaos. ► These results transcend the typical steady state behaviors of the supervised case. ► Possibilities concerning step-size selection for the algorithm are also presented.