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.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
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.
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.
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.
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.
基于一定的解码状态，声码器通过最小均方误差（MMSE）估计的方法估计最优参数，充分降低信道误码对重建语音质量的影响。
The minimum mean square error (MMSE) is computed for each decoding state to estimate optimal parameters and to reduce the influence of the bit error.
理论计算和计算机模拟实验结果显示，模糊控制迭代算法的迭代结果其振幅均方误差为0.69%，振幅不均匀度为1.01%。
Computer simulation experiment, as well as theoretical research show that the amplitude mean square error of the iterative output derived from IAFC is 0.69%, and the amplitude un-uniformity is 1.01%.
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.
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.
该算法实现了横摆角速度的线性最小均方误差估计，且可对汽车行驶过程中的系统噪声和观测噪声统计特性进行在线估计。
This algorithm can realize linear minimum mean square error estimation of yaw rate, and on-line estimate statistical characteristic of system noise and observation noise during vehicle running.
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.
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.
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).
在经典自适应波束形成算法中，常采用均方误差准则，但对于一个通信系统来说，误码率是评价其性能的一个很重要的参数。
Mean square error approach is often adopted in classical adaptive beam-forming algorithm, nevertheless, the bit error rate is one of the most important parameters in a communication system.
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.
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.
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.
为此研究了一种用繁殖码本作为激励源的有效搜索方法，同时讨论了决定最小均方误差激励码字的全搜索过程。
So an efficient search method by using populating code book are developed, and search procedures for determining the minimum mean-square error excitation code word are discussed.
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.
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.
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.
给出了分子已知情况下比率估计量的偏差和均方误差以及均方误差的估计，并对两类比率估计量进行了比较。
In this paper, the bias of the ratio estimator and the estimate of mean square errors of this estimator with known numerator have been compared and discussed.
在这种框架中，利用李群来表示旋转空间，然后基于贝叶斯估计结构，计算了利用李群的表示的最小均方误差估计性能界限。
Upon this frame, use matrix Lie group to express the rotation space, then base on Bayesian estimation framework, calculate the minimum mean squared error bounds which use the matrix Lie groups.
最后还提出了一种结合最小均方误差(MMSE)检测的连续干扰抵消(SIC)方案，其性能好于单一的SIC和MMSE检测器。
Finally, a successive interference cancellation (SIC) scheme is proposed combined with minimum mean square error (MMSE) detection. Its performance is superior to simple SIC or MMSE detector.
对文献中已给的目标方位角的最小均方误差表达式进行了推导，并且给出了方位角的最小均方误差和噪声偏差之间的关系。
Extend the expressions of the minimum mean squared error bounds of the references, and give the relations of the minimum mean squared error bounds of pose Angle and noise standard deviation.
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.
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.
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