1) Linear Minimum Mean Square Error(LMMSE)
最小线性均方误差
2) LMMSE
线性最小均方误差
1.
Simulations show that the new method is better than linear minimum mean square error(LMMSE) and least square(LS) and the operation of the new method is the most simple.
仿真表明,在多径信道下新的估计方法性能优于最小二乘估计和线性最小均方误差估计,并且计算量最小。
2.
In order to reduce the equalization delay induced by iteration, two parallel methods were proposed respectively based on maximum a-posteriori probability (MAP) and linear minimum mean-squared error (LMMSE) equalization algo-rithm in Turbo equalization.
为了解决在Turbo均衡中由迭代引起的均衡延迟问题,两种分别对应于最大后验概率(MAP)和线性最小均方误差(LMMSE)均衡算法的并行均衡方案被提出。
3.
Simulations show that the bit error rate(BER) of this new algorithm is much better than Least Square(LS) algorithm,approximate to linear minimum mean square error(LMMSE) algorithm,but its complexity is less than LMMSE al.
仿真结果表明,在瑞利衰落信道下新估计方法的误比特性能优于最小二乘估计,与线性最小均方误差估计性能相似,但计算量远小于线性最小均方误差估计。
3) LMMSE
线性最小均方误差估计
1.
These serials were predicted by LMMSE and AR models respectively according to their different features.
根据低频序列和高频序列的不同特性,分别采用自回归模型(AR)和线性最小均方误差估计(LMMSE)对未来网络流量进行预测,最后重新组合生成预测流量,通过对真实网络流量的仿真实验,结果显示该方法能比较准确地预测未来的网络流量。
4) LMMSE equalizer
线性最小均方误差均衡器
1.
The effect of time delay parameter on the performance of LMMSE equalizer is analyzed through computer simulations.
介绍了码分多址CDMA系统中码片级线性最小均方误差均衡器 。
5) linear minimum mean square error estimator
线性最小均方误差估计子
6) 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 。
补充资料：非线性最小二乘拟合
分子式：
CAS号：
性质：用最小二乘法拟合非线性方程。有些变量之间的非线性模型，通过变量变换可以化为线性模型，此称为外在线性。而有些变量之间的非线性模型，通过变量变换不能化为线性模型，通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε，其残差平方和。S(θ)是θ的函数，当模型关于θ是非线性的，正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值，拟合非线性回归方程。
CAS号：
性质：用最小二乘法拟合非线性方程。有些变量之间的非线性模型，通过变量变换可以化为线性模型，此称为外在线性。而有些变量之间的非线性模型，通过变量变换不能化为线性模型，通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε，其残差平方和。S(θ)是θ的函数，当模型关于θ是非线性的，正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值，拟合非线性回归方程。
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