并根据滤波矩阵的特殊性，？用共轭梯度法求解滤波方程。
According to the filter matrix particularity, the filter equation was solved by using conjugate gradient method.
利用矩阵分解和系统变换的技巧，得到广义随机系统的集值滤波方程。
By using the techniques of the matrix decomposition and the system transformation, the set-valued filtering for stochastic singular linear systems is also designed.
在滤波过程中，通过分析滤波残差动态，调整滤波方程中的各种参数。
Filtering residuals are employed to adaptively tune all the parameters of Kalman filters.
借助于移动目标的运动矢量模型以及GPS定位误差模型建立了滤波方程。
By means of kinetic vector model of mobile object and GPS location error model, the filtering equation are presented.
首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化。
At first, the application background of Kalman filter theory is introduced. Then, discrete Kalman filter equations are derived, and state equations of continuous system are discreted.
导出了卡尔曼滤波应用于GPS监测系统的状态方程和观测方程的纯量形式和矩阵形式，给出了系统的滤波方程。
This paper puts forward the state equation and observation equation in matrix and simple, and gives the system filtering equation when Kalman filtering is applied to the GPS monitoring system .
本文以T42数值预报产品为因子，用卡尔曼滤波方法建立可更新系数的预报方程作南京和芜湖的温度预报。
The temperature forecasting equation with renewed coefficients are set up by using Kalman filter technique based on the factors of T42 productions for forecasting in Nanjing and Wuhu.
采用最佳固定滞后平滑的时间向前递推的算法，对所建立的系统数学模型求解，得出了最佳固定滞后平滑滤波的一组方程。
A set of equations of optimal fixed-lag smoothing filter are obtained by using optimal fix-lag smooth time forward-recurrence algorithm and solving the built system mathematic model.
同时利用卡尔曼滤波误差方程对自主导航算法进行误差分析，并将两种分析结果作比较。
At the same time, we use Kalman filter error equations in errors analysis for autonomous navigation algorithm, and compare the analysis results of the two methods.
自适应抗差滤波具有控制观测异常及状态方程信息异常干扰的能力。
Adaptive robust filtering has the ability to control the disturbing influences of the outlying observations and the abnormal state equations.
非线性扩散方程滤波是一种有效的图象增强算法，能在清除图象噪音的同时保存界面不发生漂移或模糊。
Nonlinear diffusion equation filtering is a powerful tool for enhancing image while preserving edges not drifting or blurred.
扩展的卡尔曼滤波定位方法是一个常用的位置跟踪方法，但是在对非线性系统方程进行线性化近似过程中引入了线性化误差。
Extended Kalman Filter is an efficient tool for mobile robot position tracking, but it suffers from linearization errors due to linear approximation of nonlinear system equations.
根据卡尔曼滤波新息过程的统计特点，将新息过程部分反馈到DR方程以抑制DR的误差发散。
Innovations of FKF are partly fed back to DR equations to restrain the accumulation of error according to the characteristic of innovations.
在建立目标机动模型与测量方程的基础上，运用修正增益扩展卡尔曼滤波（MGEKF）算法，实现对机动目标进行定位与跟踪。
On the basis of building target movement model and measuring equation, applying MGEKF algorithm, realizes the locating and tracking for mobile target.
其次，研究了历元状态滤波算法，分析其工作原理，并推导出了状态方程和测量方程。
Secondly, epoch state filter is studied by analyzing its working principle and deriving the state equation and measurement equation.
把抽油机运动状态方程和卡尔曼滤波算法相结合，构造了一套适用的精确预测抽油机悬点速度的数学算法。
By combining the motion state equation with the Kalman filter algorithm, a mathematic calculation method for accurate prediction of the polished rod speed of the pumping unit is worked out.
这种滤波和其他预测性滤波一样，可以通过模型方程由测量空间递推得到状态空间。
As other predictive filters, state space is recursively got from measure space with system model by using the Particle filter.
卡尔曼滤波的主要思想，是用状态方程和量测方程描述线性动态系统。
The main idea of Kalman filtering is to describe the linear dynamic system using state equation and measurement equation.
由于状态和观测方程都是非线性的，故采用了扩展的卡尔曼滤波器。
Due to the nonlinearity of the state and measurement equations, the extended Kalman filter is used.
本文基于平板集热器的基本方程，讨论了在非稳态条件下测试集热器稳态热效率的滤波方法。
In this paper based on the basic equation of flat-plate solar collectors, a new unsteady state method, called the Rilter- least Square method, is presented.
主要讨论数字滤波器在采用差分方程实现中的IIR和FIR设计中所涉及的理论支持。
In this thesis, we will discuss the theory of the realization of difference equations in designing IIR and FIR of digital filters.
结合实际重力仪的系统状态方程和系统量测方程，提出了级联卡尔曼滤波方法，并将其应用于重力异常畸变信号的校正处理中。
Combined with the system state equation and the measurement equation, a new method of the cascade Kalman filter is proposed and applied to the correction of gravity anomaly distortion.
探讨了三类实现曲线演化的曲率运动方程的数值计算方案：显示方案、半隐式方案和中值滤波方法。
Three numerical calculating schemes of realizing the curvature motion formula in curve evolving are discussed, including explicit scheme, semi-implicit scheme and median filter scheme.
利用四元数误差方程和非线性滤波技术能较好地解决大失准角下SINS的空中对准问题。
In the case of large misalignment angles, quaternion error equation and nonlinear filtering can improve the performance of the in-flight alignment of SINS.
列出了对位置偏差估计的状态方程和测量方程，用加权的最小二乘估计和卡尔曼滤波算法，实现了定位和跟踪。
The state equation and detecting equation of the position error of moving target are built, the location and track to moving target is achieved by least-square estimation and Kalman filter algorithm.
考虑到运动载体上重力传感器的输出特性，在最优滤波器的重力观测方程中引入了厄特弗斯效应。
In view of the measurements made by an onboard gravity sensor the Eotvos effect is introduced in the gravity measurement equation of a GPNS optimal filter.
分别讨论输出误差法(OEM)和方程误差法(EEM)在设计自适应滤波器的应用。
Output error method (OEM) and equation error method (EEM) was desired for adaptive IIR filter design.
随后，基于图像复原统一能量泛函的欧拉·拉格朗日方程，导出一种非线性数字滤波器的统一设计框架。
The unified designing framework for nonlinear digital filters is subsequently derived, through solving the Euler-Lagrange equation of the unified energy functional.
这些非线性图像滤波大多源于求解初始值为输入图像的非线性扩散方程。
These filters may boil down to solving nonlinear diffusion equations with initial values being input images.
这些非线性图像滤波大多源于求解初始值为输入图像的非线性扩散方程。
These filters may boil down to solving nonlinear diffusion equations with initial values being input images.
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