均方误差准则

无线通信中很多问题都是基于最小均方误差准则求解，如果用高斯过程替代最小均方误差准则，则可以提高系统的性能。

In the wireless communications , many problems are solved by using MMSE criterion . If we use GP instead of the MMSE criterion , it can improve the system performance .

以最小均方误差准则为依据，选定最佳变换阶次，并结合对数谱距离确保变换阶次的最佳性。

So this papers use the MMSE as the basis , select the best transform order times .

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

在最小均方误差准则下，通过模拟退火算法为A分量和P分量估计出最优参数，从而重构出A分量和P分量。

Under mean squared-error criterion , the optimal parameters of A component and P component are estimated by using SA ( Simulated Annealing ) algorithm . The A and P components are then reconstructed .

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 .

本文基于MMSE（minimummeansquareerror）线性检测器原理，利用自适应子波网络实现最小均方误差准则的优化，较好地消除了多址干扰。

On the basis of MMSE ( Minimum Mean Square Error ) linear detector we use adaptive wavelet network to achieve minimum mean square error , and effectively eliminate multi access interference .

以Matlab为仿真工具评估信号处理的效果，对比最小误差准则、最小均方误差准则、信号谱分析、互相关准则评估结果。

It applies Matlab tool to evaluate the efficiency of signal processing and contrasts results of the minimum error rule , the minimum average square error rule , analysis of signal spectrum , evaluation of cross correlation criterion .

基于最小均方误差准则，提出了一种用于抑制异步直扩CDMA系统中的多址干扰的变步长LMS自适应匹配算法。

Based on Minimum-Mean-Square-Error ( MMSE ) criterion , a kind of LMS algorithm with variable stop size is proposed to suppress Multi-Access Interference ( MAI ) in asynchronous DS-CDMA system .

对单位字典与lk范数构成的正则化模型应用相似原理，并依据最小均方误差准则，得到最优模型参数以及模型解析解。

By applying the similar process and minimum mean-square error criterion , the optimal model parameters and the analytic solution of the regularization model with l_k norm and identity matrix is also gotten .

基于最小均方误差准则导出了一种NLMS类型的自适应算法来实时调整这种非线性滤波预测器的系数。

The NLMS-type algorithm , which is derived based on least mean square error , is used to adaptively update this nonlinear predictor 's coefficients .

研究内容主要包括：1、研究了一些最基本的V-BLAST系统的连续干扰消除（SIC）检测算法，包括了基于迫零和最小均方误差准则的连续干扰消除技术，基于QR分解的算法等。

The main contents in this dissertation include : 1 、 Sequential interference cancellation ( SIC ) algorithm for V-BLAST , including zero-forcing or MMSE based SIC and QR decomposition ( QRD ) based method , are studied .

提出滤波多音调制（FMT）中的一种分数间隔预编码技术，给出了基于最小均方误差准则（MMSE）的分数间隔子信道滤波器设计。

A new pre coding structure for Filtered Multitone ( FMT ) is designed according to the minimum mean square error ( MMSE ) criterion , while the precoding is performed on a per subchannel basis .

基于高斯一阶导脉冲，分别利用最小均方误差准则和半定规划（SDP）算法得到了频谱利用率都较高的两种组合波形。

Based on the 1st derivative of Gaussian pulse , two kinds of composite pulses with high NESP values are derived via minimum mean square error principle and semi definite programming ( SDP ) arithmetic .

依据最小均方误差准则，以FROST空时阵列模型为基础，提出了空时最小均方（Space-timeleast-mean-squares，STLMS）算法。

Secondly , according to the minimum mean square error ( MMSE ) criterion , the dissertation puts forward a Space-time least-mean-squares ( STLMS ) algorithm based on the model of FROST array processing .

第三章研究了无线通信系统中导频方式的选择以及LTE上行链路传输过程中导频信号的设计，同时介绍了常用的最小均方误差准则估计（MMSE）和最小二乘信道估计（LS）的估计方法。

Chapter 3 derives the different pilot modes in wireless communication systems ; the pilot signal design in LTE uplink transmission process , it also introduces commonly estimation about the minimum mean square error ( MMSE ) channel estimation and least squares ( LS ) channel estimation .

针对分群子载波MIMO-OFDM系统，提出基于独立子群的信道估计方法，给出导频序列的设计规则以及算法复杂度分析，计算机仿真给出了该算法在多径衰落信道下基于最小均方误差准则的分析结果。

The dissertation presents subgroup channel estimation algorithm for the Subcarrier Grouping MIMO-OFDM systems . The criterion of optimal pilots design is suggested and the complexity analysis of scheme is provided . Simulation results show the performance of system based on the MSE under multipath fading channel .

探讨了一种基于最小均方误差准则的自适应图像压缩编码算法（MMSEACC），该算法将最小均方误差BTC、内插法和四叉树技术有机结合起来，根据图像的局部特性调节编码算法。

An adaptive compression coding algorithm based on minimum mean square error rule for image coding ( MMSEACC ) is presented , which combines the block truncated coding ( MMSEBTC ) with interpolation coding and quadtree , and can adjust the compression algorithm based on the local image details .

基于最小均方误差准则的自适应图像压缩编码算法

An Adaptive Compression Algorithm Based on MMSE Rule for Image Coding

基于量化系数均方误差准则的运动估计算法

A Motion Estimation Algorithm Based on the Quantized DCT Coefficients MSE Criterion

给出了一种基于最小均方误差准则的梯度跟踪算法。

The gradient tracking algorithm based on MMSE is introduced .

一种基于最小均方误差准则的唯方位定位方法

DOA Passive Location Algorithm on Least Mean Square Error Criterion

卡尔曼滤波采用最小均方误差准则，是一种最优滤波。

Kalman filtering is an optimum filtering employing the norm of minimum mean square error .

本文针对此类调制信号，分析了其独特性质，并基于最小均方误差准则提出了一种改进的接收端检测算法。

Furthermore , an improved detection algorithm based on the minimum mean square error criterion is presented .

文中采用了二种算法：（1）均方误差准则；

Mean squared error criterion ;

为了便于信道估计和信号检测，设计了一种双循环的自适应时隙结构，基于该结构设计了频域均衡空时联合检测器，并证明它是最小均方误差准则下的最优检测器。

The detector is proved to be optimal under the minimum mean square error ( MMSE ) criterion .

在这种接收机中，利用一个自适应匹配滤波器，根据最小均方误差准则，对接收匹配滤波器系数（参考向量）作自适应调整。在白噪声情况下，自适应接收机等效于传统匹配滤波器。

Under MMSE criterion , the adaptive receiver converges to a conventional single user matched filter for an AWGN channel .

利用贝叶斯最小均方误差准则来估计“干净”的小波系数。

Bayes Minimum Mean Square Error ( Bayes MMSE ) method is used to estimate the wavelet coefficients free of noise .

该方法利用最小均方误差准则，对原有的软门限值进行了优化，推导出在最小均方误差的条件下对于不同噪声分布的最佳去噪算法。

The MES rule is used to optimize the original soft threshold and the optimal denoising algorithm is deduced for different noises .

提出依据最小均方误差准则，利用波形相似性来联合估计两个信道的时延差值。

Combined estimation of time-delay between two channels is obtained with a minimum mean square error criterion by using similarity of the signals .

在建立语音和噪声模型的基础上，运用最小均方误差准则直接从带噪信号中估计先验信噪比。

Based on the foundation of speech model and noise model , the priori SNR is estimated directly from noisy speech using MMSE .