1) least mean square Sigmoid error
最小均方Sigmoid误差
1.
Adaptive time delay estimation based on least mean square Sigmoid error with the presence of impulsive noises
α稳定噪声下最小均方Sigmoid误差自适应时间延迟估计
2) 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 。
3) 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。
4) minimum mean square error solution(MMSE)
最小均方误差解
5) 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。
6) LMS
最小均方误差
1.
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
2.
By adding the least mean square(LMS)algorithm to track time-varying channel environment,the bit-error-rate(BER)performance of the canceller improves.
分析现有多用户检测中串行干扰消除检测器的缺陷,在该检测器中加入最小均方误差自适应算法以跟踪时变的信道环境,从而改进该检测器的性能。
3.
Based on the merits of the target’s edge, the LMS classifier is used to correct the predicted outputs at the same time.
提出一种新的图像边缘提取的快速算法———通过建立马尔可夫预测模型对目标边缘位置进行前向预测 ,并根据边缘特性 ,采用最小均方误差分类器进行同步校正 。
补充资料：均方根误差
分子式：
CAS号：
性质：又称均方根误差，当对某一量进行甚多次的测量时，取这一测量列真误差的均方根差(真误差平方的算术平均值再开方)，称为标准偏差，以σ表示。σ反映了测量数据偏离真实值的程度，σ越小，表示测量精度越高，因此可用σ作为评定这一测量过程精度的标准。
CAS号：
性质：又称均方根误差，当对某一量进行甚多次的测量时，取这一测量列真误差的均方根差(真误差平方的算术平均值再开方)，称为标准偏差，以σ表示。σ反映了测量数据偏离真实值的程度，σ越小，表示测量精度越高，因此可用σ作为评定这一测量过程精度的标准。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条