| 1. | Minimum mean squared error
最小均方差 |
| 2. | This system characterized with good anti - multipath performance and low complexities when the channel matrix extending technique or overlap - adding technique and minimum mean square error equalization are employed
当采用信道矩阵扩展技术或重叠相加技术，并采用最小均方误差均衡时，该系统有着良好的抗多径性能和较低的计算复杂度。 |
| 3. | In this paper , we emphasis on the distributed mimo zero forcing detection , maximum likelihood detection and minimum mean square error detection . the simulation results are presented to compare the proposed distributed mimo detection algorithms
本文重点阐述了分布mimo的迫零检测算法、最大似然检测算法和最小均方误差检测算法,并通过仿真比较了这三种分布mimo检测算法的性能。 |
| 4. | The variance of the optimum estimate is not only smaller than that of sensor with the minimum variance in this multi - sensor system but also smaller than that of estimating result with minimum mean square error ( mmse ) algorithm
由该算法得到的传感器测量结果值最优估计的方差不仅低于传感器组中每一个传感器测量结果的方差，而且低于由基于最小均方误差( mmse )多传感器数据融合算法得到的估计结果的方差。 |
| 5. | 4 . we propose that the best detection method for the uplink mc - cdma system is decorrelating - parallel interference cancellation ( dec - pic ) multiuser detection , and the best detection method for the downlink mc - cdma system is minimum mean square error combining ( mmsec ) single user detection
提出上行信道mc - cdma的最佳检测方法是解相关-并行干扰抵消多用户检测法( dec - pic ) ，在下行信道mc - cdma的最佳检测方法是最小均方误差合并单用户检测法( mmsec ) 。 |
| 6. | Then we focus on decision feedback equalization ( dfe ) algorithm which is widely used in mimo signal detection . subsequently , a minimum mean squared error ( mmse ) detector based on wl detection combined with the decision feedback strategy for ca - mimo is derived . meanwhile , the issue that how to use wl detection in da - mimo system is discussed and a solved project is also presented
本文第四章在介绍了宽线性检测技术的基础知识之后,着重针对mimo信号检测算法中使用广泛的反馈判决检测算法,提出了一种基于最小均方误差准则的宽线性反馈判决集中式mimo信号检测算法;同时,结合第三章的内容,对分布mimo信号如何采用宽线性检测提出了一套解决方案,通过计算机仿真,给出了几种分布mimo检测算法的性能;结果表明,在采用最优检测顺序的情况下,两 |
| 7. | Secondly , introduce discrete multi - tone modulation principle in detail , have a systemic and comprehensive analysis and explanation on minimum mean square error ( mmse ) channel shorten time domain equalizer design methods which are based on all kinds of cost functions , analyze their advantage and disadvantage . research on time domain equalizer structure , compare all the time domain equalization algorithm with simulation which afford a valuable reference for the choice of equalization algorithm and equalizer structure when design time domain equalizer
详细介绍离散多音频调制原理，对mmse信道缩短法和基于其他代价函数的时域均衡器设计方法的进行了系统全面的分析和阐述，分析了各自的优缺点；对时域均衡器结构进行研究；仿真比较了各种时域均衡方法，为进行时域均衡器设计时均衡算法、均衡器结构的选择提供了有价值的参考。 |
| 8. | After the system has been synchronized , we first use the least square method to make channel estimation , then separate the channel response information from the channel noises by dft . a weighting function based on the minimum mean square error ( mmse ) criteria can be applied to the time domain channel impulse response
在系统同步条件下，首先使用最小平方方法来估计信道响应，然后利用离散傅利叶变换的性质把信道响应信息和信道噪声分离，并在时域按最小均方误差准则做加权处理。 |
| 9. | The latter primarily improves the transmission distance and reliability by selecting the repeater automatically . the frequency domain auto - adaptatation filter algorithm is deduced and reliabity by selecting the repeater automatically . the frequency domain auto - adaptaion filter algorithm is deduced and a method of frequency domain algorithm to restrain the marrow band interference is given on the foundation of the time domain minimum mean square error auto - adaptation filter . then the meter reading system to can learn the power network structure and automatically create linked path by using neural networks auto - study ability and analyzing the reading data
后者主要是对中继节点的自动选择，以提高信息的传输距离与可靠性。针对电力线扩频通信信道的特点，在时域最小均方误差自适应滤波算法的基础上，推导了频域自适应滤波算法，并提出了频域算法抑制窄带干扰的具体方法。运用神经网络的自学习方法，通过对抄读数据进行分析，使抄表系统感知电网拓扑结构，自动建立中继路径。 |
| 10. | The present paper gives some profound results of linear biased estimation of regression coefficients which include linear biased estimation for the minimum mean square error , the necessary and sufficient conditions for the linear biased estimation superior to least square estimation , the necessary and suffic ) ent conditions for the admissibility of linear biased estimation and some linear biased estimators not included in the literatures
摘要给出回归系数的最小均方误差线性有偏估计、线性有偏估计优于最小二乘估计的充要条件及线性有偏估计为可容许估计的充要条件，同时给出文献中未涉及的一些有偏估计。 |
