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
Usually, excess meansquare error (MSE) and convergence speed are two criterions used to evaluate performance.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
3
The concepts of second order fuzzy random variables and meansquareconvergence of sequences of fuzzy random variables are introduced. Some related properties are proved.