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.
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.
利用基于滤波X最小均方值算法的前馈型自适应控制系统，对汽车座椅振动实施主动控制，以改善座椅的动态舒适性。
An adaptive controller which contains a filtered-x least mean squares algorithm(FXLMS) was applied to complete the active vibration control of a vehicle seat.
再通过其均方计算出电压有效值。
分析了该系统的鲁棒均方指数稳定性。
The robust exponential stability in mean square of the system is analyzed.
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.
给出系统均方指数稳定和几乎必然指数稳定的代数判据。
And the algebraic criteria of exponential stability and almost sure exponential stability are given.
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.
并证明了该最优输出反馈控制律可使网络控制系统均方指数稳定。
The paper proves that optimal controllers can stabilize the exponentially mean square of networked control systems.
在此框架下本文初步研究了系统的参数对系统均方稳定性的影响。
We will study how the mean-square stability of the system is influenced by the system parameters.
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.
本文中讨论了一类具有不确定性的线性随机控制系统的均方指数稳定性问题。
In this paper, the robust exponential stability in mean square for a class of linear stochastic uncertain control systems is dealt with.
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.
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).
应用该公式可以求出线性和等价线性化的非线性振动系统的精确稳态均值和均方响应。
By using of this formula, the accurate mean and mean square responses of a linear or an equivalent linearized nonlinear vibration problem can be obtained.
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.
得出了最优控制器关于结构不确定性的鲁棒性质。给出了系统的均方指数镇定的代数判据。
The robustness of the optimal controller for uncertain parameters of systems and the algebraic criteria of exponential stability in mean square are obtained.
本文提出一种将结构在随机激励下某些点(自由度)上的均方响应作为约束的动力学设计方法。
This paper presents a dynamic design method in which the mean square responses for certain points on the structure under random excitation are regarded as constraints.
医学图像融合的效果评价方法有很多，如信息熵、互信息、均方值、峰值信噪比和平均梯度等。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
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.
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.
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.
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.
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.
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.
应用推荐