论文标题
SM-NLMS算法的L2稳定性分析
L2-Stability Analysis of the SM-NLMS Algorithm
论文作者
论文摘要
在这封信中，我们分析了两个属性，即设置会员的局部和全局鲁棒性，使最小平方（SM-NLMS）算法归一化。我们将证明SM-NLMS算法具有L2稳定性。确实，SM-NLMS算法永远不会发散。无论如何选择SM-NLMS算法的参数。最终，数值模拟证实了我们分析的有效性。
In this letter, we analyze, two properties, the local and the global robustness of the set-membership normalized least mean square (SM-NLMS) algorithm. We will show that the SM-NLMS algorithm has l2-stability. Indeed, the SM-NLMS algorithm never diverges; no matter how the parameters of the SM-NLMS algorithm has been selected. Ultimately, the numerical simulations corroborate the validity of our analysis.
