最小方差

最小方差预报自调整比例因子FUZZY控制器

A FUZZY Controller with Self-adjusting Scale Factor of Least-square Prediction

数字PID在什么条件下是最小方差控制

Under What Conditions the PID Control is Minimal Variance

主/被动雷达H∞滤波的最小方差数据融合算法

Minimum Mean Variance Data Fusion Algorithm Using H ∞ Filter Based on Active / Passive Radar

本文证明了最小方差是点集的递增函数，k的递减函数。

This article proved that minimum squared-error is an increasing function of set and decreasing function of k.

带偏差MIMO系统跟踪最小方差控制

Following minimum variance control for a MIMO system with a deviation

最小方差；医学图像分割；弱边界；Snake模型；

Minimum variation Medical image segmentation Weak edge Snake model ;

和以最小方差作为基准估计MIMO控制系统的性能。

Evaluation of control performance with MIMO minimum variance control as a benchmark standard .

基于DFT插值的线性约束最小方差宽带自适应阵列

Linearly constrained minimum variance broadband adaptive array based on DFT interpolation

本文以PID控制能实现的最小方差为基准，当被控过程模型未知，通过对正常运行数据拟合模型，再估计PID能实现的最小方差及其相应的PID控制器参数。

When the process model is unknown , estimate the PID-achievable minimum variance and corresponding parameters by routine closed-loop operation data .

主分量的方向是代表输入数据矢量具有最大方差的方向，用主分量来表示数据矢量称之为主分量分析（PCA），而次分量的方向是输入数据矢量具有最小方差的方向。

Principal components are the directions in which the input data have the largest variances .

第一种方法基于Harris提出的最小方差方法。

The first method is based on minimum variance proposed by Harris .

将乘性噪声转化为近似加性高斯噪声，可以获得SAR图像小波系数的最小方差估计。

After converting multiple speckle noise to additional Gaussian noise , we achieve the MMSE estimate of SAR image wavelet coefficient .

介绍了一种新的基于功率反演和线性约束最小方差的算法，以高度抑制GPS接收机的干扰信号。

This paper presents a new algorithm based on the power inversion ( PI ) and the linearly constrained minimum variance ( LCMV ) .

针对新的增广系统，提出了基于单传感器系统的线性最小方差最优Kalman估值器。

Against the new augmented system , the linear minimum variance optimal Kalman estimators are designed for single sensor system .

一类不可观测ARMA过程参数的最小方差估计的强相容性

Strong consistence of minimum variance estimation of parameters in an unobservable ARMA process

最后，运用MATLAB仿真软件对广义最小方差自校正控制算法进行仿真，并与传统控制规律（常规PID控制）的仿真结果进行比较分析。

Finally , through MATLAB simulation demonstrates and verifies the control performance of the proposed self-tuning control in comparison with the traditionally designed PID control .

它以模型检测技术为手段，针对系统时变而引起的方差增大问题，利用PID最小方差评估技术对系统进行优化和评估。

This method uses model detection technology to solve squared deviation problem , employs PID accessibility assessment of minimum-squared variance techniques to assess and optimize the system .

基于Copula的最小方差套期保值比率

Minimum variance hedge ratio based on Copula

本文从另一个角度提出了Class方法，先按最小方差原则，找到了截断变量的最优估计；再利用Class方法对区间截断数据作残差分析。

In this paper , A Class method was proposed . According to least variance rule , the best estimation of Interval-Censored data was found , and then residual was analyzed by the Class method .

最后，基于线性最小方差最优加权融合算法，给出了分布式加权信息融合Kalman估值器。

At last , the distributed weighted fusion Kalman estimators are obtained by applying the weighted fusion estimation algorithms in the linear minimum variance sense .

应用经典Kalman滤波方法，在线性最小方差信息融合准则下，提出了按矩阵加权的广义系统多传感器信息融合稳态Kalman状态滤波器。

Based on classical Kalman filtering method , a multi-sensor information fusion stead-state Kalman filter weighted by matrices is proposed under linear least variance information fusion criterion .

应用Kalman滤波方法，在线性最小方差最优加权融合准则下，提出了最优加权融合降阶稳态广义Kalman估值器。

Using the Kalman filtering method , under the linear minimum variance optimal weighting fusion rules , the optimal weighted fusion reduced order steady-state descriptor Kalman estimators are presented .

用Lagrange乘数法给出了按矩阵加权线性最小方差最优融合估计公式新的推导。

By Lagrange multipliers , in linear minimum variance sence , a new derivation of optimal fusion estimation formula weighted by matrices , is given .

为解决关联矩阵难以估计的问题，提出利用最小方差（MV）基准界评价多变量控制系统性能的方法。

Combined with these bound establishing methods , a new integrated MV benchmarking bounds performance assessment theory system of multivariable control system is constituted .

本文主要对数字波束形成算法进行研究，重点分析了线性约束最小方差（LCMV）算法，并将该算法在DSP上实现。

The paper introduces the digital beamforming algorithm and focus on the analysis of the linear constrained minimum variance ( LCMV ) algorithm .

基于通用的线性最小方差最优加权融合估计算法，分别获得了分布式最优加权融合Kalman状态滤波器和系统偏差滤波器。

Based on the optimal weighted fusion estimation algorithms in the linear minimum variance sense , the distributed optimal fusion Kalman state filter and system bias filter are obtained , respectively .

得到的谱<（δn）2>k在谱形，强度变化和最小方差拟合的谱指数等方面均与赤道扩展F大尺度湍谱分布实验结果符合较好。

The resulting spectra are in fair agreement with the observational turbulence spectra of the large scale equatorial spread-F (λ≥ 100m ) in spectral shape , intensity and indexes by the method of least variance fitting .

结合ICA在时间序列预测的应用，给出了基于一阶差分和最小方差误差的多分量联合重构预测排序准则。

In time series forecasting , a novel criterion has been presented based on the mechanism of first-order differential and minimum variance error under multiple components reconstruction .

讨论寿命服从单参数GAMMA分布单元平均寿命的极大似然估计和一致最小方差无偏估计；

The maximum likelihood estimate and uniformly minimal variance unbiased estimate ( UMVUE ) of MTTF were made on the one-unit system whose lifetime was assumed to be on GAMMA distribution .

采用了广义最小方差自校正控制算法，具有时变滞后的极点自校正PID算法，极点对消直接PID三种算法进行了仿真与现场试验研究。

Three control algorithms were used : the wide-sense minimum variance self-tuning control , the time-varying , time-delay pole assignment self-tuning PID control and the pole cancelled direct PID control . Simulation studies and experimental investigations were made .