均方误差

深入研究了单输入单输出系统的线性均衡器和非线性判决反馈均衡器，分析比较了基于峰值失真准则和最小均方误差准则均衡器的均衡性能和影响其性能的若干因素。

Deep research on linear equalizer and decision feedback equalizer in Single-Input-Single-Output system . Analyzing of equalizer performance based on ZF and MSE criteria and some factors which influence the performance are also given in this paper . 3 .

EZW有很好的均方误差性能，适中的复杂度和嵌入式位流，引起了压缩研究界的兴趣。

EZW has good MSE performance , moderate complexity and embedded bit stream , causing a compression of community interest .

基于均方误差准则的半象素精度运动估计方法的改进及其DSP实现

An Improved Method for Half Pixel Motion Estimation Using MSE Criteria and Its Realization in DSP

CDMA系统中信道估计最小均方误差的研究

Study on Minimum Mean Square Error of Channel Estimation in CDMA System

支持向量机模型的发蛾高峰期、发生程度的均方误差值小于BP神经网络。

The mean square error of the model of SVM was less than that of BP Neural Networks .

Gamma自适应滤波器及其最小均方误差训练方法

The gamma adaptive filter and its Minimum-Mean-Square-Error criterion-based training methods

基于可靠性的低复杂度最小均方误差软干扰抵消MIMOTurbo接收机

Reliability Based Reduced-complexity MMSE Soft Interference Cancellation MIMO Turbo Receiver

基于最小均方误差的多用户MIMO下行预编码

Linear precoding based on MMSE in multi-user MIMO downlink

一种降低OFDM移动通信系统中LS信道估计均方误差的算法

An Algorithm to Reduce MSE of LS Channel Estimation in Mobile OFDM System

自适应LMS算法均方误差收敛的充分条件

A sufficient condition ensuring the MSE convergence of adaptive LMS algorithm

最小均方误差（LMS）自适应算法用来进行语音信号的共振峰跟踪。

The LMS adaptive algorithm is used for tracking formants of speech signals .

本文最终确定改进后的BP网络模型结构为9-7-1，训练均方误差为0.00033。

In this paper , the finalize improved structure of BP network model is 9-7-1 , the training mean square error is 0.00033 .

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。

The chip level linear minimum mean square error ( LMMSE ) equalizer in CDMA systems is introduced .

最小均方误差（LMS）算法是应用最为广泛的自适应滤波算法。

Least Mean Square ( LMS ) algorithm is used widely in adaptive filter .

介绍了一种基于均方误差估计的新变步长LMS自适应滤波算法。

This paper propose a novel alterative step LMS auto-adapted filter algorithm based on mean squared-error estimation .

这两种方法都是基于最小均方误差估计（MMSE）准则的特征补偿。

Both approaches are based on the minimum mean squared error ( MMSE ) sense .

首先，本文通过对HELP算法的深入分析，根据语音信号谐波相关程度能反映浊音度强弱的性质，开发了一种基于最小均方误差准则的谐波相关浊音度参数提取方法。

First , after deeply investigating HELP model , a harmonic related voicing detection algorithm based on MSE criterion is developed , with the knowledge that voicing algorithm can be showed by degree of harmonic relation .

讨论了递归最小均方误差算法（RLS）的性能分析。

This paper discussed the performance analysis of the recursive least squares ( RLS ) algorithm .

根据优化准则的不同，基于二阶累积量的自适应滤波算法又分为很多种，最常见的是最小均方误差（LMS）算法和最小二乘（RLS）算法。

There are many kinds of adaptive filter algorithm based on second-order cumulates according to different optimization rules .

基于均方误差（MSE）准则，分析线性均衡器在补偿有符号间串扰（ISI）信道中的码间干扰时的性能状况。

The performance in which the channel with ISI is compensated by equalization approaches is analyzed .

本文对无线OFDM系统中基于导频的信道估值器进行了比较分析，对比了四种估值器在均方误差（MSE）上的性能。

This report deals with pilot-based channel estimation in wireless OFDM systems . Four estimators are compared in terms of mean-squared error .

利用最小均方误差（MMSE）准则求得相关干扰条件下阵列最优加权矢量和输出最小均方误差；

Then , the optimal weighted vector and the MMSE minimum mean square error were obtained using the MMSE principle .

这种新方法通过信号子空间的奇异值和奇异向量得到CDMA系统的线性最小均方误差（MMSE）多用户检测器。

The proposed detector uses singular values and singular vectors of the signal subspace in a linear MMSE multiuser detector for the DS CDMA system .

Kantorovich不等式的延拓与均方误差比效率

Extensions of the Kantorovich Inequality and the Error Ratio Efficiency of the Mean Square

与传统的LMS算法相比，WOLMS算法在同样收敛速度的前提下可以得到较低的稳态均方误差。

It is theoretically proved that WO-LMS achieves higher convergence speed under the same condition as LMS , however with smaller step range .

在AR（1）需求模式和最小均方误差预测的假设组合下，证明了简单定购点模型并不总是引发牛鞭效应。

Under the assumptions of AR ( 1 ) demand pattern and MMSE forecasting , it proves the simple order-up-to ( OUT ) model is not always arouse bullwhip effect .

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 .

研究了一种基于均方误差（MSE）测度的矢量量化快速编码算法。

A fast encoding algorithm based on the Mean Square Error ( MSE ) distortion for vector quantization is introduced .

该混合预测模型通过满足期望的均方误差（MSE）来使模糊规则的数目尽可能的小。

The hybrid model minimizes the number of fuzzy rules by choosing the appropriate mean square error ( MSE ) .

针对多径信道环境下的DVB-T系统，给出了数学期望最大（EM）算法迭代检测发送信号的方法，初始信道的频率响应采用最大似然（ML）和最小均方误差（MMSE）方法进行估计。

This paper gives the ML and MMSE method of channel estimation in DVB-T system and gives an iterative detection of transmitted signals using EM algorithm .