In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady meansquare error and faster convergence speed.
与传统的LMS算法相比，WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
2
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual meansquare error.
调整该算法中两个梯度矢量的比例系数，可提高该算法收敛速度、减少收敛后的均方误差。
3
In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergenceinmeansquare and strong consistency are given respectively.