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。
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。
This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error (MMSE) estimation of speech short time spectrum.
本文主要讨论基于语音短时谱估计的语音增强算法。
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。
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%。
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。
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。
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。
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。
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。
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。
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。
The total income of national economy and the amount of population are predicted with second-degree moving model and with the principle of least mean square fit error determining designated value n.
利用二次移动平均模型，引入均方拟合误差最小的原理确定出时段数n，对国民经济总收入、人口数量等项目进行了预测。
Based on the model a grammatical pattern is constructed, and an algorithm for pattern recognition of wave peaks is designed by using mean square error norm.
本文给出描述波形波峰的数学模型，并根据数学模型构造一个文法模式，然后采用均方误差范数设计出模式识别波形波峰的算法。
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.
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。
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。
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。
The paper put forward a new improved least mean square algorithms which is on the basis of the fundamental of convergence step and the graph connection between error and step.
本文根据现有的步长调整原则，利用误差和步长关系曲线特点，提出了新的变步长最小均方算法。
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。
The root mean square relative error, mean absolute relative error and maximize absolute relative error of SVM model generalization performance are 1.06%, 0.96% and 1.16%, respectively.
对SVM多元非线性回归泛化性能进行测试，其均方根相对误差为1.06%，平均绝对相对误差为0.96%，最大绝对相对误差为1.16%。
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.
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。
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.
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。
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.
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。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
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.
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 upper bound of mean square error is given for the two algorithms of fixed and block floating point.
给出了定点与块浮点两种算法时的均方误差上限。
Algorithms based on DMMSE (Difference minimum mean square error) criterion of adaptive multi users detector for short spreading sequences DS CDMA systems is proposed.
给出了基于差分最小均方误差(DMMSE)准则的短扩频序列ds- CD MA自适应多用户检测算法。
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。
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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