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In the $l_0$ norm constraint least mean square ( $l_0$-LMS) algorithm, the zero attractor is an important parameter which balances the trade-off between the convergence rate and steady-state error of the algorithm. However, there is no practically effective choice guideline of this parameter. In addition, the optimal value of this parameter should be time-varying when the measurement noise power...
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