该方法可以使估计的总体均方误差最小。
The method focuses on minimizing the ensemble mean square error of the estimation.
评判标准是预测打分和真实值之间的均方误差(RMSE)。
The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.
卡尔曼滤波采用最小均方误差准则，是一种最优滤波。
Kalman filtering is an optimum filtering employing the norm of minimum mean square error.
设计了基于矩阵外积法的一步预测均方误差阵的改进算法。
The algorithm of matrix inversion with matrix exterior product arithmetic is improved, so that matrix inversion is avoided.
遵循最小均方误差原理，给出了二维二阶拟合的矩阵表达式。
According to the principle of minimum mean square error fit, the corresponding matrix formulation is developed.
本文给出了在混合噪声中非线性递归最小均方误差算法的性能分析。
This paper presents the performance analysis of recursive least square algorithm with error-saturation in mixture noise.
介绍了码分多址CD MA系统中码片级线性最小均方误差均衡器。
The chip level linear minimum mean square error (LMMSE) equalizer in CDMA systems is introduced.
本文由此出发，导出在最小均方误差意义下的最佳矢量压扩量化设计。
On this basis, a design method of an optimal vector compandor with least mean square error criterion is derived.
同时为解决多目标分辨的问题，采用一种基于目标均方误差的配对算法。
Aiming at solving resolution of multiple targets, a match algorithm based on mean square error is also proposed.
该技术基于次优化子空间盲最小均方误差（MMSE）多用户检测算法。
This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.
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。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
代入最优阀值的渐近均方误差为我们提供了形状参数矩估计阶的选择依据。
Generation into the optimal threshold AMSE (asymptotic mean squared error) provide options for moment estimates order of shape parameter.
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
该方法计算简单、均方误差小、收敛速度快，并且降低了算法对噪声的敏感性。
It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
采用加权的均方误差准则来优化估计模型的参数，实现对测量序列的抗扰最佳估计。
To obtain the best estimation of anti-jamming for measured series, the rule of weighted-square error is introduced to optimize the parameters of estimating model.
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。
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.
自适应滤波算法采用变步长最小均方误差算法，减少了算法的运算量，提高了算法的收敛速度。
The adaptive filter is based on variable step size LMS method (VSSLMS), which can reduce the computation requirement and improve the convergence speed.
引入了最佳修正短时对数谱估计，能在信号存在的不确定性下最小化语音信号对数谱的均方误差。
We introduce an optimally-modified log spectral amplitude estimator, which minimizes the mean-square error of the log spectra for speech signals under signal presence uncertainty.
此算法相对于均方误差最小准则和最大误差最小化准则具有占用存储空间小和计算时间短的优点。
Compared with the minimum mean squared error principle and the minimaxs principle this one needs smaller memory space and less computation time.
对回归方程误差的影响因素进行了分析，导出了回归方程的均方误差与其影响因素之间的关系式。
The influencing factors for errors in regression equation are discussed and the relations between mean square error of regression equation and its influence factors are deduced.
这种方法利用频域测量矩阵直接给出了圆度形状误差和回转误差的最小二乘解或最小均方误差解。
The least square solution and minimum mean square error(MMSE) solution for roundness error and spindle error was derived by measurement matrix in frequency-domain.
山区重力测量工作中，用现有方法计算总均方误差，往往使均方误差偏小，异常的可信程度降低。
The total mean square error for gravity survey in mountainous region estimated by the present methods are usually too small to be convincing.
利用最小均方误差（MMSE）准则求得相关干扰条件下阵列最优加权矢量和输出最小均方误差；
Then, the optimal weighted vector and the MMSE minimum mean square error were obtained using the MMSE principle.
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。
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed.
在实际通信系统中当信号处于深衰落时，最小均方误差(MMSE)检测器经常失去对信号的相位跟踪。
It is noted that the minimum mean square error (MMSE) detector often loses phase to lock a desired signal when the desired signal dips into a deep fade.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。
The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
该算法采用协方差匹配技术，依据滤波新息，动态调整测量噪声方差，使融合系统的均方误差始终最小。
With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.
若以均方误差作度量估计优劣的标准，模拟显示当误差相关程度较高时，新估计优于文献中常见的矩估计。
Our simulation results show that for high errors correlation case, new estimate is superior over the moment estimate appeared in literature under mean square error criterion.
本文讨论了一种带有参考通道的自适应环境噪声滤波器原理，该滤波器采用最小均方误差（LMS）算法。
One kind of theories of adaptive noise cancellation filter with referent channel based on Least Mean Square (LMS) algorism is discussed in this paper.
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