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1)  MMSE
最小均方差
1.
The Turbo equalization with MMSE soft-cancellation can eliminate co-channel interference(CCI) and multiuser interference, which is an important technique for frequency selective fading channel and need obtain filter coefficients by minimum-mean-squared-error (MMSE) for multi-antenna transmit systems, but there are different coefficients with different constraints with space and time variable.
基于最小均方差(MMSE)的软干扰消除Turbo均衡器能有效地消除系统共信道干扰与多用户干扰,在频率选择信道下的是一种非常有效的均衡接收技术。
2.
typical detection methods, including ML and MAP of non-linear detection technology, and QR, ZF and MMSE of linear detection technology.
论文采用了多种空时信号处理技术,如典型的检测方法,包括非线性检测技术的最大似然检测技术(ML)和最大后验概率检测技术(MAP),以及线性检测技术的QR分解算法、迫零(ZF)算法和最小均方差(MMSE)算法,重点采用了高性能多天线检测技术—EM算法,介绍了它的原理、性质以及基于V-BLAST系统的应用。
2)  minimum mean square error
最小均方差
1.
The state equation and measurement equation for detecting the weld position is established,and the optimal estimation of the Kalman filtering recursive algorithm also is established according to the principle of minimum mean square error.
以焊缝中心位置为特征矢量,建立焊缝位置检测的状态方程和测量方程,并依据最小均方差原则建立了卡尔曼滤波最优估计的递推算法。
3)  minimum mean square error
最小均方误差
1.
A sub-optimal channel estimation algorithm in orthogonal frequency division multiplexing(OFDM) system was proposed,to reduce the complexity of traditional minimum mean square error(MMSE) channel estimator,and to alleviate the performance deterioration of MMSE estimator due to the mismatch of the estimator-to-channel statistics.
为了降低正交频分复用OFDM(Orthogonal Frequency division Multiplexing)系统中最小均方误差MMSE(Minimum Mean Square Error)信道估计算法的复杂度,并且改善由于信道的统计特性与先验知识不匹配而导致的MMSE估计性能恶化,提出了一种自适应的低秩信道估计算法。
2.
Both channel and echo response can be shortened at random with a single FIR equalizer by following the minimum mean square error rule.
使用最小均方误差准则 ,用一个FIR均衡器联合缩短信息与回波冲激响应 ,有效地缩短了回波和信道冲激响应长度 。
3.
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 。
4)  minimum mean square error(MMSE)
最小均方误差
1.
A multi-user detection(MUD) algorithm for fast frequency hopping multiply access/multilevel frequency shift keying communication systems is proposed,based on minimum mean square error(MMSE).
针对快跳频多址系统,提出了基于最小均方误差(MMSE)准则的多用户检测算法。
2.
On the receiver,soft-input soft-output(SISO) channel decoder is used following minimum mean square error(MMSE) soft interference cancellation detector,and the turbo-like idea is used for the iterative detect.
在发送端级联卷积编码、高阶调制和V-BLAST结构,以提高系统的数据传输速率和频谱利用率;在接收端采用软干扰抵消的最小均方误差(Minimum mean square error,MMSE)检测器和软输入软输出(Soft input soft output,SISO)信道译码器相级联,并利用Turbo译码思想进行迭代检测,以提高系统增益。
3.
High computational complexity is the main problem of the minimum mean square error(MMSE)soft interference can- cellation(SIC)based multiple-input multiple-output(MIMO)Turbo receiver.
计算复杂度高是MIMO最小均方误差软干扰抵消Turbo接收机面临的主要问题。
5)  minimum mean square error solution(MMSE)
最小均方误差解
6)  LMSE
最小均方误差
1.
Hough Transform with Parameters Chosen by LMSE Method;
采用最小均方误差筛选参数的Hough变换及应用
2.
According to the feature that the domain block is in one-to-one correspondence with the least mean square error (LMSE) in fractal coding, a multi-pose-and-expression face retrieval method is proposed in this paper.
利用图像分形编码中定义域块和最小均方误差一一对应的特点 ,提出了 1种基于分形编码的多姿态、表情的人脸图像检索方法。
补充资料:最小方差估计
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性质:在系统模型辨识过程中,寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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