在分析线性滤波器原理的基础上，建立了化工系统动态信号的最优线性滤波器的数学模型，并以加氢裂化反应器出口温度信号的除噪为例比较了滤波器模型参数对去噪效果的影响。
Taking the noise elimination of the outlet temperature signal of hydrocracking reactor as an example, the effect of the model parameters of the wave filter for noise elimination was compared.
作为滤波理论的应用，我们研究了一类部分可观测的递归线性二次最优控制问题。
As an application of filtering theory, we study one kind of partially observed linear quadratic recursive optimal control problem.
结合分离原理和一种直接构造的方法，我们得到了显式的最优控制，它是状态滤波估计的线性反馈。
Combining the separation principle with a direct construction method, we get the optimal control which is the linear feedback of the state filtering estimation.
本文提出了一种空间拦截弹的最优制导和非线性滤波方法。
An optimal guidance and nonlinear filtering method for space interceptor is presented in this paper.
这两种滤波算法均保持了线性方差最小意义下的最优性。
It is optimal still in the sense of linear minimum-variance.
其次，利用线性卡尔曼滤波器对其纵向运动姿态进行估计，依据LQG性能指标构造了最优控制规律。
Then the pose of longitudinal motion is estimated by linear Kalman filter. Finally, an optimal control rule is constructed by LQG performance index.
本文提出并详细说明了用最优化方法设计线性相位数字滤波器的原理和方法。
The Principle and design methods for linear phase digital filter with optimization design were presented in this paper.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
从确定性干扰的内模观点导出了适用于线性随机受控对象的最优滑动滤波器。
The optimal moving average filter for the linear stochastic controlled plant is developed from the viewpoint of the internal model of the deterministic disturbance.
首先非线性堆滤波器用于求出图象某象素点邻域内的灰度最大值与最小值的最优估计，然后以此两估计值之差代替原象素点灰度值。
First, nonlinear stack filter is applied to estimate the maximum and minimum of noise-free image's gray scale value in a local region.
给出了一种离散系统最优滤波器的线性矩阵不等式（LMI） 设计方法。
This paper studies the problem of getting the optimal unbiased filter for discrete system using the method of linear matrix inequality(LMI).
粒子滤波（PF）是近年来兴起的一种最优非线性滤波方法。
Particle filter (PF) is an optimal nonlinearity filtering method which rises in recent years.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对线性调频信号的旁瓣抑制介绍了经典海明窗加权处理方法，对二相编码的旁瓣抑制使用了最优峰值旁瓣电平失配滤波法。
The solution to sidelobe suppression of the LFM and BC signal are discussed in details. For LFM signal, the method of employing Hamming weighting is demonstrated;
针对线性调频信号的旁瓣抑制介绍了经典海明窗加权处理方法，对二相编码的旁瓣抑制使用了最优峰值旁瓣电平失配滤波法。
The solution to sidelobe suppression of the LFM and BC signal are discussed in details. For LFM signal, the method of employing Hamming weighting is demonstrated;
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