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数字图像处理——二维数字图象处理中的非线性滤波技术应用。-digital image processing -- two-dimensional digital image processing of nonlinear filtering technology applications.
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非线性滤波除噪技术综述 中值 均值 还有自适应技术的区别-nonlinear filtering in addition to noise Technology Value adaptive technology also mean the difference between
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目标跟踪中非线性滤波，要用的下下来-Target tracking in nonlinear filtering, use the next down a good look at
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PhD thesis on nonlinear diffusion filtering of images using the topological gradient approach to edges detection
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粒子滤波是基于序贯Monte Carlo 仿真方法的非线性滤波算法，对基本粒子滤波算法的原理实现步骤进行了详细的介绍，进行了仿真试验。-Particle filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithm, the principle of elementary particle filter algorithm to achieve a detailed int
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Comparison of Nonlinear Filtering Techniques
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本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在
自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.-In this pap
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从改进提议分布的成片野值容错能力入手，提出了基于残差正交判别的UPF容错滤波算法，该算
法将残差正交判别法UKF的野值自适应性和粒子滤波的“适者生存性”有机地结合起来．通过非线性状态估计
的实验，证实了这种新的自适应粒子滤波对成片野值处理的有效性，-Proposal from the improved value of the distribution of fault tolerance into the film field, put forward an identificatio
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非线性问题的高斯滤波,包含了贝叶斯递归滤波、高斯-厄尔米特滤波、中心差分滤波、混合高斯滤波等先进滤波方法-Gaussian filters for Nonlinear filtering problems
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本文 重 点 研究单目标跟踪中的三方面主要内容:一、非线性滤波 二、目标运动建模
三、各种探测条件下目标跟踪仿真实验。-This paper focuses on single target tracking in three areas: a nonlinear filtering , target motion modeling
Third, a variety of detection under the conditions of the target tracking si
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在本文中，我们将提出一种分离语音组成部分的程序进行讨论。该程序是基于对非加性信号的非线性滤波的方法，也被称作广义线性滤波。- In this paper, a procedure for separating the components of speech is proposed and discussed. The procedure is based on an approach to nonlinear filtering of signals which have been n
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一种卡尔曼滤波与粒子滤波相结合的非线性滤波算法
One kind of Kalman filter-One kind of Kalman filter and particle filter combines nonlinear filtering algorithm
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粒子滤波算法的简单例子，适用于非线性、非高斯过程的滤波。-A simple example of particle filter algorithm for nonlinear and non-Gaussian process filtering.
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一种新的变步长LMS自适应滤波算法，本文通过建立步长因子L与误差信号之间的非线性函数关系,提出了一种新的变步长LMS(Least
Mean Square)算法.该算法具有初始阶段和未知系统时变阶段步长自动增大而稳态时步长很小的特点,且克服了S函
数变步长LMS算法(简称SVSLMS算法)在自适应稳态阶段L(n)取值偏大的缺陷.理论分析和计算机仿真结果表明
该算法的性能优于SVSLMS算法.
-By building a nonlinear function relationshi
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Although it has
been proven to be particularly effective in many applications,EMD
method has several drawbacks. The major problem with EMD is
the lack of theoretical Framework which leads to difficulties for
the characterization and evaluatio
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The extended Kalman filter (EKF) has been widely
used as a nonlinear filtering method for radar tracking
problems. However, it has been found that in
case cross-range measurement errors of the target position
are large, the performance of the
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Cramer Rao Lower Bounds for Nonlinear Filtering
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《卡尔曼滤波与组合导航》一书中非线性滤波章节的知识，EKF,UKF,UPF,PF各算法流程比较详细-the flow of EKF,UKF,UPF,PF
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nonlinear filtering in Matlab
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深空探测器自主导航的非线性滤波算法研究与仿真Research and Simulation of nonlinear filtering algorithm for autonomous navigation of deep space probe-Research and Simulation of nonlinear filtering algorithm for autonomous navigation of deep space probe
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