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.
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).
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.
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.
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.
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.
采用常用的最小均方误差(LMS)自适应算法，研究了自适应解调方法对A SK信号的解调及其性能。
The demodulation and performance of adaptive demodulation method to ASK signals was studied by Least Mean Squares algorithm (LMS) in common use.
提出了一种基于最小均方误差准则的圆弧分段曲线拟合方法。
We present a method of circular arc fragmented curve-fitting based on least mean-square error rule in this paper.
引出了子空间方法多用户检测的概念，并给出了线性解相关(dec)多用户检测和最小均方误差(MMSE)多用户检测的子空间表示。
Educe the concept of subspace approach for multi-user detection, give out the subspace expression about DEC and MMSE multi-user detection.
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.
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.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
实验结果表明该方法与最小均方误差准则、信噪比准则和相关系数最小准则相比，具有更好的稳定性和视觉特性。
The experimental result shows that the new method has better stability and visual features compared with MSE, SNR and minimum correlation coefficient.
实验结果表明，该方法能获得较低的最小均方误差，运算速度快，具有实用价值。
The experiment results show that lower MMSE can be got, and it runs fast, so it works efficiently in practice.
维纳波是一种常见的图像复原方法，该方法的思想是使复原的图像与原图像的均方误差最小原则采复原图像。
The principle of the method expects to minimize the mean square error between the recovered image and original image.
维纳波是一种常见的图像复原方法，该方法的思想是使复原的图像与原图像的均方误差最小原则采复原图像。
The principle of the method expects to minimize the mean square error between the recovered image and original image.
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