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.
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.
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.
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).
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.
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.
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.
介绍了一种基于均方误差估计的新变步长LMS自适应滤波算法。
This paper propose a novel alterative step LMS auto-adapted filter algorithm based on mean squared-error estimation.
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.
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.
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。
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.
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.
新算法使用时变遗忘因子对误差进行指数加权平均来估计均方误差，并使用该因子改变自适应迭代过程中滤波器系数向量的更新方向。
In the new algorithm, a time-variant forgetting factor is introduced to estimate the Mean Square Er-ror (MSE) and change the updating direction of adaptive filter coefficient vector.
并且以信道估计均方误差(MSE)作为评估标准，从理论上证明了所提算法的有效性。
Taking the channel estimation mean square error (MSE) as the performance evaluation indicator, the thesis verifies the efficiency of the proposed scheme from the theoretical aspect.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
这种滤波器的关键是在均方意义下推导无偏转换测量误差协方差阵的最佳估计。
The key of the presented filter is to derive the best estimate of the covariance matrix of the unbiased converted measurements in the mean-square sense.
本文提出了将RAS-MFCC特征和最小均方误差估计（MMSE）语音增强方法相结合的抗噪声语音识别方法。
At last, we propose a new speech recognition method which combines RAS-MFCCs and MMSE speech enhancement technology.
本文研究了在均方误差意义下岭型主成分估计在岭型降维估计类中的最优性。
The optimality of the MSE of combining ridge and principal components in the class of combining ridge and reduced dimension estimators is dealt with in this paper.
本文以多元线性回归模型的典则形式为研究对象，从减小均方误差的角度出发，在一定的范围内分析了岭参数K 的存在性和岭估计的优良性。
The investigation object of this paper is the standard canonical form. In order to the mean square error, I analyze the existence and choiceness of ridge regression K in some spectrum.
给出了二阶比估计量的偏差、估计量的均方误差以及均方误差的估计。
For the ratio estimate in two-stage sampling, the bias and mean square errors(MES) of the estimater value have been obtained, and the estimater value of the MSE has been given.
研究结果表明，随着样本数的增大，估计量的均方误差趋于0，传输态的保真度趋于1。
The results show that mean square error of the estimation tends to 0 and the fidelity of the transmission state tends to 1 with the increase in the number of the sample.
通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。
By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.
分析了反映P SN曲线统计精度的主要指标，提出了P S N曲线参数估计量的均方误差计算机模拟求法。
Main characteristics of statistical accuracy for P-S-N curves are analyzed and the method for mean square error of P-S-N curves parameters by computer simulation is brought forward.
证明了在均方误差准则下，在该估计类中不存在一致最优不变估计，且方差分析估计是不容许估计。
It is proved that there is no best estimator in the class under mean-squared-error criterion and the Analysis-of-variance (ANOVA) estimator is also inadmissible.
讨论多阶段抽样比率估计及其样本量选择的问题，给出了比率估计抽样均方误差的近似公式及其渐近无偏估计的公式。
We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.
由于该方案是基于近似的线性最小均方误差估计准则而设计的，因此它是一种理论上的准最佳跟踪方案。
As the scheme is designed conforming to the criteria of approximate linear least-mean-square error estimation, it is theoretically quasi-optimal.
由于该方案是基于近似的线性最小均方误差估计准则而设计的，因此它是一种理论上的准最佳跟踪方案。
As the scheme is designed conforming to the criteria of approximate linear least-mean-square error estimation, it is theoretically quasi-optimal.
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