1) linear minimum-variance
线性最小方差
1.
This algorithm is optimal in the sense of linear minimum-variance.
该算法在线性最小方差意义下是最优的。
2.
The proposed algorithm is optimal in the sense of linear minimum-variance.
针对石油地震勘探、通讯工程、水声探测等许多实际应用领域 ,该文研究 1种在更弱的乘性噪声限制条件下系统的最优状态滤波 ,就乘性噪声矩阵为一般随机矩阵且各观测通道乘性噪声在同时刻相关的情形 ,给出了在线性最小方差意义下的状态最优滤波算法。
2) linear minimum variance
线性最小方差
1.
In order to improve the precision of the fusion estimation, this paper presents the optimal information fusion fix-interval smoother based on the multi-sensor optimal information fusion criterion weighted by matrix in the linear minimum variance sense.
为了提高融合估计的精度,采用矩阵加权线性最小方差意义下的最优信息融合准则,对多传感器系统,考虑局部估计误差之间的相关性,给出了最优信息融合固定区间平滑器算法。
2.
The algorithm is optimal in the sense of linear minimum variance.
该算法在线性最小方差意义下为最优的。
3) linear minimum variance optimal fusion
线性最小方差最优融合
4) minimum variance property
最小方差性
6) LMMSE
线性最小均方误差
1.
Simulations show that the new method is better than linear minimum mean square error(LMMSE) and least square(LS) and the operation of the new method is the most simple.
仿真表明,在多径信道下新的估计方法性能优于最小二乘估计和线性最小均方误差估计,并且计算量最小。
2.
In order to reduce the equalization delay induced by iteration, two parallel methods were proposed respectively based on maximum a-posteriori probability (MAP) and linear minimum mean-squared error (LMMSE) equalization algo-rithm in Turbo equalization.
为了解决在Turbo均衡中由迭代引起的均衡延迟问题,两种分别对应于最大后验概率(MAP)和线性最小均方误差(LMMSE)均衡算法的并行均衡方案被提出。
3.
Simulations show that the bit error rate(BER) of this new algorithm is much better than Least Square(LS) algorithm,approximate to linear minimum mean square error(LMMSE) algorithm,but its complexity is less than LMMSE al.
仿真结果表明,在瑞利衰落信道下新估计方法的误比特性能优于最小二乘估计,与线性最小均方误差估计性能相似,但计算量远小于线性最小均方误差估计。
补充资料：最小方差估计
分子式：
CAS号：
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
CAS号：
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条