最小均方误差(MMSE),MMSE英语短句,例句大全

最小均方误差(MMSE),MMSE
1)MMSE最小均方误差(MMSE)
2)minimum mean-squared error equalizer最小均方误差(MMSE)均衡接收
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。

英文短句/例句

1.linear-minimum-mean-square-error estimator线性最小均方误差估计量
2.Channel equalization of orthogonal frequency division multi-plexing underwater communication based on linear minimum mean square errorOFDM水声通信线性最小均方误差算法信道均衡
3.DOA Passive Location Algorithm on Least Mean Square Error Criterion一种基于最小均方误差准则的唯方位定位方法
4.Image denoising of coal dust based on improved minimum mean square error estimation改进最小均方误差估计的煤尘图像去噪
5.Implementation of Adaptive Filter on GPS Receiver Based on LMS Algorithm基于最小均方误差算法消除GPS接收机噪声
6.Linear precoding based on MMSE in multi-user MIMO downlink基于最小均方误差的多用户MIMO下行预编码
7.Linear Optimal Filter with Minimum Mean Square Error for Synthetic Aperture Radar Images合成孔径雷达图像的最小均方误差线性最优滤波
8.Abstract: We present a method of circular arc fragmented curve-fittingbased on least mean-square error rule in this paper.文摘: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。
9.Radio Resource Allocation Based on Mmse Multiuser Receiver;基于线性最小均方误差多用户接收机资源分配的研究
10.A Channel Estimate Algorithm Based on Least-Mean-Square Error in Wireless LAN;一种基于最小均方误差的无线局域网信道估计算法
11.Implementing Noise Cancellation of 10 kV Power Line Communication Based on Adaptive Least-Mean-Square Error Algorithm基于自适应最小均方误差算法实现10kV电力线通信的噪声对消
12.Adaptive MMSE Multi-user Detection Based on Independent Component Analysis基于独立分量分析的自适应最小均方误差多用户检测
13.Reliability Based Reduced-complexity MMSE Soft Interference Cancellation MIMO Turbo Receiver基于可靠性的低复杂度最小均方误差软干扰抵消MIMO Turbo接收机
14.The method focuses on minimizing the ensemble mean square error of the estimation.该方法可以估计的总体均方误差最小。
15.Robust Adaptive Beamforming Based On Minimizing Mean-Square Error基于最小化均方误差的鲁棒自适应波束形成
16.Kalman Filter Applied Algorithm Based on Mean Square Error Minimum基于均方误差最小的卡尔曼滤波实用算法
17.Adaptive time delay estimation based on least mean square Sigmoid error with the presence of impulsive noisesα稳定噪声下最小均方Sigmoid误差自适应时间延迟估计
18.Optimal Reinsurance under Standard Deviation Calculation Principle and Mean Square Error Risk Measure标准差保费原理均方误差风险下的最优再保险

相关短句/例句

minimum mean-squared error equalizer最小均方误差(MMSE)均衡接收
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。