Description: 基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真-based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB Platform: |
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Author:husheng |
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Description: 基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真-based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB Platform: |
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Author:husheng |
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Description: 本文提出了有模型指导的三维人体运动跟踪框架，将一个多关节的圆台形状三维人体模型与多个视频图像中的外轮廓、边界、灰度和肤色特征进行匹配，使人体运动跟踪变成一个状态估计问题。并且，使用基于概率模型的粒子滤波算法来完成非线性、非高斯动态系统的状态估计。
-In this paper, the model has guided three-dimensional human motion tracking framework, will be more than one of the frustum of a cone shape of the joints of three-dimensional human body model with a number of video images of the outer contour, border, greyscale and color matching features, so that human motion tracking into a state estimation problem. In addition, the use of probabilistic model based particle filtering algorithm to complete the non-linear, non-Gaussian dynamic system state estimation. Platform: |
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Author:阳关 |
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Description: 本文的题目是改进的粒子滤波在组合导航中的应用研究。文档可用caj打开。
本课题首先研究了GPS/DR车载定位系统的组合模型，然后在分析了非线性滤波的基础上，引入了粒子滤波。粒子滤波是一种基于递推计算的序列蒙特卡罗算法，它采用一组从概率密度函数上随机抽取的并附带相关权值的粒子集来逼近后验概率密度，从而不受非线性、非高斯问题的限制。虽然粒子滤波存在诸多优点，然而它仍然存在诸如粒子数匿乏、滤波性能不高、实时性差等问题。-The title of this article is to improve the particle filter in the navigation of the applied research. CAJ can be used to open the document. This issue initially on the GPS/DR Vehicle Location System portfolio model, and then the analysis of nonlinear filtering based on the introduction of a particle filter. Particle filter is a recursive calculation based on Sequential Monte Carlo algorithm, it uses a set of probability density function from random samples and weights attached to the relevant set of particles to approximate a posteriori probability density, and thus not subject to non-linear, the issue of non-Gaussian constraints. Although there are many advantages of particle filter, yet it still exists, such as particle number Punic poor, filter performance is not high, real-time poor. Platform: |
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Author:阳关 |
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Description: 光纤对各种类型的高斯光束的不同非线性作用-Fiber of various types of Gaussian beam in the role of different non-linear Platform: |
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Author:shutan |
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Description: 粒子滤波技术在非线性、非高斯系统表现出来的优越性，决定了它的应用范围非常广泛。另外，粒子滤波器的多模态处理能力，也是它应用广泛有原因之一。国际上，粒子滤波已被应用于各个领域。在经济学领域，它被应用在经济数据预测；在军事领域已经被应用于雷达跟踪空中飞行物，空对空、空对地的被动式跟踪；在交通管制领域它被应用在对车或人视频监控；它还用于机器人的全局定位。
-Particle filter technology in the non-linear, non-Gaussian system demonstrated the superiority of the decision of its wide range of applications. In addition, the particle filter for multimodal capabilities, also has one of the reasons it is widely used. Internationally, the particle filter has been applied to various fields. In economics, it is applied to forecast economic data in the military field have been applied to radar tracking aerial flying objects, air to air, air-passive tracking in the field of traffic control it was used in the car or the person video monitoring also used the global positioning robot. Platform: |
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Author:fanlianxiang |
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Description: 本书主要介绍了波束形成算法，非均匀线性天线阵列用于高斯检测估计，以及宽带信号的DOA估计，相干宽带DOA估计等-This book introduces the beamforming algorithm, non-uniform linear antenna array for the Gaussian detection estimate, and broadband signal DOA estimation, coherent broadband DOA estimation Platform: |
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Description: 用Matlab实现高斯列主元消去法解非齐次线性方程组-Matlab implementation by principal component Gaussian elimination method for solving the column non-homogeneous linear equations Platform: |
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Author:林筝 |
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Description: 这是用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，
非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-This is a particle filter for target tracking code using matlab, referential nature, one-dimensional case, the non-Gaussian non-linear, which will be extended Kalman filter and particle filter to compare, a better description of the particle the superiority of the filter Platform: |
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Author:程文玉 |
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Description: 上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.-Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm. Platform: |
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Author:宁小磊 |
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Description: 熟悉非高斯色噪声的产生过程，并对其进行参数估计。
产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。
-Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution. Platform: |
Size: 5120 |
Author:张 |
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Description: 粒子滤波是基于递推的蒙特卡罗模拟方法的总称，可用于任意非线性，非高斯随机系统的状态估计。-The particle filter is based on recursive Monte Carlo simulation method general, can be used for any non-linear, non-Gaussian random system state estimation. Platform: |
Size: 339968 |
Author:冯浩 |
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Search - non gaussian linear