针对灰度图像的椒盐噪声滤波问题，提出一种保细节的非线性滤波算法。
A nonlinear filtering algorithm was presented to remove salt and pepper noise from gray-scale image while preserving details.
仿真结果表明，基于SVD的非线性滤波算法对干扰有很强的抑制能力，较好地改善了系统的性能。
The simulation results show that the SVD-based nonlinear filtering algorithm has great interference suppression ability, and improves the performance of the system.
图像平滑处理中，如何在去除噪声的同时完整地保留图像边缘细节一直是非线性滤波算法研究的热点问题。
In the smoothing process of image, it is very important for nonlinear filter to reserve fringe detail of image while filtering noise.
基于这样的背景，本文从目标定位、时间配准和非线性滤波算法三个方面对多站纯方位被动跟踪系统进行了研究和算法改进。
According to this, this paper focuses on the study of bearings-only passive tracking system in the aspects of the target location, time alignment and nonlinear filtering algorithm.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
针对载机尾后目标探测问题，提出利用机载雷达告警接收机提供的目标方位信息，运用非线性滤波算法对载机尾后目标的距离、速度等运动信息进行实时估计。
The azimuth information of target acquired by airborne Radar Warning Receiver (RWR) is used to estimate the distance, speed and other motion information of the target through non-linear filtering.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
针对带有未知但有界噪声的非线性系统，提出一种椭球集员滤波算法，并将其应用于保证故障检测与隔离。
A set membership filtering algorithm using ellipsoidal sets for nonlinear systems with unknown but bounded noises is proposed and applied to guaranteed fault detection and isolation(FDI).
提出了一种新的用于抑制散斑噪声的非线性加权均值多方向形态滤波算法。
In this paper, a new nonlinear weighted average multidirectional morphological filtering algorithm is proposed to suppress speckle noise.
提出了一种新的用于散斑噪声抑制的非线性加权均值多方向形态滤波算法。
A new nonlinear weighted average multidirectional morphological filtering algorithm is proposed, which is used in suppressing speckle noise.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
提出了在三维空间中引入径向速度的非线性卡尔曼滤波算法。
Based on three-dimensional space, a new method for the nonlinear Kalman filter using the radial velocity is presented.
该算法可以直接应用于原系统的非线性模型当中，并且不需考虑系统噪声和量测噪声是否为高斯白噪声，都能得到很好的滤波效果。
It could be directly applied to the nonlinear model of the initial system, and could get good filtering result whether the system noise or measured noise was Gaussian or not.
由于我们实际生活中的系统基本上都是非线性的，因此本文研究的是专门用于非线性非高斯系统跟踪的粒子滤波算法(PF)的基本原理及其具体应用。
Since the real life systems basically are nonlinear, so this paper study the basic principles and specific applications of Particle Filter (PF) specially used for non-linear non-Gaussian tracking.
然后研究了对应于此类非线性不确定系统的鲁棒滤波算法，得到了该滤波问题的充分解。
Then the robust filter problem for this system is studied, and a sufficient solution is designed.
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.
形态学滤波器是一种新的非线性语音增强算法。
Morphological filter is a kind of new nonlinear speech enhancement algorithm.
应用粒子滤波器及其改进算法解决了导航系统中存在的强非线性问题。
The strong nonlinearity of navigation system is solved using the particle filtering and its improved algorithm.
本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景，研究弹道导弹目标粒子滤波算法。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
采用一种稍加修改的强跟踪滤波算法估计降阶状态向量，然后利用降阶状态向量估计非线性状态函数。
A slightly modified strong tracking filtering algorithm is used to estimate the reduced-order state vector, which is then used to estimate the nonlinear state function.
提出一种稳定的IR自适应滤波器，并给出了系数迭代的非线性梯度算法。
This paper puts forwards a stable IIR adaptive filter, along with the nonlinear gradient algorithm concerning its coefficient iteration.
该算法改变了原算法中非线性滤波的方式，并结合总变分最小化方法对图像进行降噪处理。
This algorithm changes the form of nonlinear filter, and denoises the image by combining with the method of total variation minimization.
针对非线性、非高斯系统状态的在线估计问题，本文提出一种新的基于序贯重要性抽样的粒子滤波算法。
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on-line estimation problem of non-Gauss nonlinear systems.
针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
根据非线性负载的等效电路模型，提出了一种基于快速跟踪算法的有源电力滤波器单相电路谐波电流检测方法。
According to the equivalent circuit model of non-linear load, a detecting approach of harmonic current in single-phase circuit based on fast iterative algorithm in active power filter is proposed.
用非线性车辆模型线性化方法，设计了基于广义卡尔曼滤波器和广义龙贝格观测器的质心侧偏角估计算法。
Through linearizing nonlinear vehicle model, vehicle side-slip Angle estimation algorithms based on generalized Kalman filter and generalized Luenberger observer are formulated.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
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