| 1. | The best solution is to refine technique and thus reduce the size of the error mean square .
最好的解决办法是提高技术，以降低均方误差的大小。 |
| 2. | Mean square stabilization of t - s fuzzy stochastic systems
模糊随机系统的均方镇定 |
| 3. | A parameters following estimation for the time - varying system
时变系统最小均方算法的性能分析 |
| 4. | Block least mean square adaptive combining for mc - cdma systems
系统的块最小均方自适应合并技术 |
| 5. | Asymptotic minimax efficiency ; interative logarithm law ; mean error
渐近minimax有效重对数律均方误差 |
| 6. | Intetval estimation of mean square error for linear statistic model
统计模型中误差方差的均方误差的区间估计 |
| 7. | Time - varying system identification methods and convergence theorems
时变多变量系统多新息投影算法的均方收敛性 |
| 8. | Simulation results show the good performances of this method
仿真结果表明了该算法具有优良的最小均方误差性能。 |
| 9. | The research of the minimum mean - square error of the generalized kalman filter
广义卡尔曼滤波均方误差最小性的研究 |
| 10. | Mean square radius of gyration
均方旋转半径 |
