• Well, we could try to minimize a square error like we did before.

    我们可以试着最小化这个平方误差。

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  • However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.

    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。

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  • 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.

    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。

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  • The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.

    对测试数据的预测结果表明,该预测系统能够可靠工作,预测结果的均方根误差在15%左右。

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  • 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%.

    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%。

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  • 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.

    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。

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  • 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.

    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。

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  • 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.

    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。

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  • Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.

    然后通过梯度下降法和最小二乘法相结合的混合学习算法,对控制器参数进行调整以提高其控制精度。

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  • 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。

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  • 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.

    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。

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  • In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.

    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。

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  • Aiming at solving resolution of multiple targets, a match algorithm based on mean square error is also proposed.

    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。

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  • 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.

    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。

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  • Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.

    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。

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  • Kalman filtering is an optimum filtering employing the norm of minimum mean square error.

    卡尔曼滤波采用最小均方误差准则,是一种最优滤波。

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  • The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.

    本文将分形理论引入多径衰落信道的描述,提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。

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  • The chip level linear minimum mean square error (LMMSE) equalizer in CDMA systems is introduced.

    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。

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  • This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.

    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。

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  • The method focuses on minimizing the ensemble mean square error of the estimation.

    该方法可以使估计的总体均方误差最小。

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  • A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.

    本文提出了一种利用相邻QRS波的相关性进行最小均方差预测的心电图压缩算法。

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  • Then, the optimal weighted vector and the MMSE minimum mean square error were obtained using the MMSE principle.

    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;

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  • And both the mean and the mean square error of the coordinate series are testified this method.

    通过算例分析,无论从坐标序列的均值还是中误差都验证了本方法的有效性。

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  • This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).

    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。

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  • 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.

    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。

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  • The total mean square error for gravity survey in mountainous region estimated by the present methods are usually too small to be convincing.

    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。

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  • On this basis, a design method of an optimal vector compandor with least mean square error criterion is derived.

    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。

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  • 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.

    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。

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  • 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.

    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。

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