It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence.
在非线性、非高斯条件下进行动基座传递对准，如果采用卡尔曼滤波会出现误差较大甚至发散的问题。
In this system, after binarization and nonlinear filtering of range image with DSP, the object region is obtained by connecting area searching.
系统用DSP对距离图像进行二值化和非线性滤波处理后，通过连通域搜索提取出目标区域。
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.
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 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抑制散斑噪声的非线性加权均值多方向形态滤波算法。
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。
In nonlinear filtering system, linearization error and system error are two major factors that affect filtering accuracy.
在非线性滤波系统中，线性化误差和系统误差是影响滤波精度的两个主要因素。
In order to remove the positive impulse noise, a nonlinear filter (RCF) based on row and column filtering is presented and its filtering and detail protection properties are analyzed in the paper.
本文针对数字图像中出现的正向脉冲噪声，提出了基于行列处理消除正向脉冲噪声的非线性滤波器(RCF)，并分析了它的滤波和细节保护特性。
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。
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.
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。
As for stack imaging, CRS stack and nonlinear diffusion filtering have been used to enhance the effects of seismic imaging in various seismic processing steps.
在叠加成像方面，CRS叠加、非线性扩散滤波等可直接用来提高地震成像质量。
The solutions in the form of series expansion are given for a class of nonlinear filtering problem of Markov-Gauss processes.
本文针对一类非线性滤波问题，研究其级数展开形式的解。
Mathematics morphology is based on set theory, which is a powerful approach in geometrical description and nonlinear filtering.
数学形态学以集合理论为基础，是几何形状描述与分析和非线性滤波的有力工具。
An optimal guidance and nonlinear filtering method for space interceptor is presented in this paper.
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。
In the case of large misalignment angles, quaternion error equation and nonlinear filtering can improve the performance of the in-flight alignment of SINS.
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。
A new nonlinear weighted average multidirectional morphological filtering algorithm is proposed, which is used in suppressing 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。
Nonlinear matrix equations arise in areas of control theory, ladder networks, dynamic programming, queueing theory, stochastic filtering and statistics.
非线性矩阵方程来源于控制理论，梯形网络，动态规划，排队理论，随机过滤，统计学等应用领域。
In Chapter 2, we present nonlinear filtration theory, and find out the nonlinear conditional Gaussian filtering estimation under one dim and multi dims.
第二章引入非线性滤波理论，给出一类关于条件高斯过程的一维和多维非线性滤波估计。
In the smoothing process of image, it is very important for nonlinear filter to reserve fringe detail of image while filtering noise.
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。
The extended Kalman filtering method has been effectively used in the nonlinear model.
扩展的卡尔曼滤波方法已经有效地用于非线性模型。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
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