Description: 文件包含有5项内容:
一、扩展卡尔曼滤波EKF
二、去偏转换卡尔曼滤波CMKF
三、最小二乘拟和的方法
四、最小二乘、EKF、CMKF的比较
五、野值剔除算法
用MATLAB实现了这些具体算法和要求
-document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kalman filtering, and the least squares method to be four, least squares, EKF. Comparison of five CMKF, excluding outliers algorithm in MATLAB these algorithms and specific requirements Platform: |
Size: 226304 |
Author:jiji |
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Description: 卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法,如卡尔曼滤波,扩展卡尔曼滤波,粒子滤波等在姿态确定上的应用,并比较了它们仿真的结果-Satellite attitude determination and sensor error correction filtering algorithms. Introduced several different filtering algorithms, such as Kalman filtering, extended Kalman filter, particle filter, such as in the attitude determination applications, and compare their simulation results Platform: |
Size: 6289408 |
Author:yueyang |
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Description: 卡尔曼滤波的源码,卡尔曼滤波是在图像保留边缘基础上进行细节忽略的一种比较高级的算法。-Kalman filter source, Kalman filter is retained in the image edge based on the details of a more senior neglected algorithms. Platform: |
Size: 13312 |
Author:dynasty |
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Description: 卡尔曼滤波是现代数字信号处理经典算法,本程序应用matlab语言实现利用卡尔曼滤波器跟踪机动目标。-Kalman filtering is a classic of modern digital signal processing algorithms, the application of this procedure using matlab language maneuvering target tracking Kalman filter. Platform: |
Size: 3072 |
Author:mengxiao |
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Description: matlab函数的一个例子!!就是描述扩展卡尔曼滤波的一个MATLAB算法。-this is an example about ekf!extended kalman filter algorithms applied matlab Platform: |
Size: 6144 |
Author:常吉昌 |
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Description: 本实验是利用卡尔曼滤波器实现一维匀加速运动的轨迹跟踪。卡尔曼滤波是一种时域滤波方法,它采用状态空间方法描述系统,算法采用递推机制,数据存储量小,在导航领域有成功的应用。-This experiment is the use of Kalman filter to achieve a one-dimensional constant acceleration of the trajectory tracking. Kalman filter is a time-domain filtering method, which uses state-space description of systems, algorithms using recursive mechanisms, data storage a small amount of success in the navigation area of the application. Platform: |
Size: 33792 |
Author:yunguangmei |
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Description: target tracking algorithms using kalmanfilter
compute the background image->Kalman filter initialization->loop over all images Platform: |
Size: 799744 |
Author:Do-Myung Kim |
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Description: 一种很好的非线性目标跟踪算法,克服了扩展卡尔曼滤波的缺点-A good nonlinear target tracking algorithms, to overcome the shortcomings of the extended Kalman filter Platform: |
Size: 2048 |
Author:汪俊 |
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Description: TrackIT是一款开放式的机器视觉开发平台,目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件,并在不断添加更新中,采用开源OpenCV、WxWidgets、CMU139等标准工具,使用XML动态解析界面,所有参数在界面上直接调整,同时可立即看到调整效果,并可动态加载组件,可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。-TrackIT is an open development platform for machine vision, now integrated input from a camera, color conversion, color image processing, gray-scale image processing, binary image processing, threshold segmentation, edge detection, Blob detection, camera calibration, Kalman filter, optical flow tracker, nearest neighbor tracking, mathematical morphology, machine learning algorithms nearly 100 components, and continually add updates, using open source OpenCV, WxWidgets, CMU139 and other standard tools, using XML dynamically analysis interface, all parameters in the interface directly on the adjustment, while adjustments immediately see results, and can dynamically load the components, can be used for general scientific research and machine vision system development. Run-time needs. Net framework support. Platform: |
Size: 28174336 |
Author:黄设 |
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Description: 详细介绍卡尔曼滤波的电子书,书中还带有MATLAB例子。-Kalman Filtering Theory and Practice Using MATLAB,introduce basic algorithms of kalman filtering and how to use matlab to implement kalman filter algorithms Platform: |
Size: 3176448 |
Author:hudapao |
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Description: Kalman滤波器最全面的介绍,包括公式和处理算法与过程。-Kalman filter is the most comprehensive presentation, including the formula and processing algorithms and processes. Platform: |
Size: 129024 |
Author:mechess |
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Description: 用MATLAB编写的单目标跟踪算法程序,采用了递归式算法,包括极大似然然估计,卡尔曼滤波,扩展卡尔曼滤波和无迹卡尔曼滤波,带有注释,易于理解。-Written with the MATLAB program single-target tracking algorithm, using recursive algorithms, including maximum likelihood estimation, Kalman filtering, extended Kalman filter and unscented Kalman filter, with comments, easy to understand. Platform: |
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Author:asd |
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Description: EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分(忽略高阶项),常常导致在状态的后验分布的估计上产生较大的误差,影响滤波算法的性能,从而影响整个跟踪系统的性能。最近,在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器(Unscented Kalman Filter-UKF)。UKF的思想不同于EKF滤波,它通过设计少量的σ点,由σ点经由非线性函数的传播,计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性,从而比EKF滤波具有更高的估计精度。
-EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy. Platform: |
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Author:zyz |
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Description: 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码,用于实现鲁棒的视觉目标跟踪,其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成,大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化,但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家!-These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
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Author:朱亮亮 |
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Description: 卡尔曼滤波器简介
近来发现有些问题很多人都很感兴趣。所以在这里希望能尽自己能力跟大家讨论一些力所能及的算法。现在先讨论一下卡尔曼滤波器,如果时间和能力允许,我还希望能够写写其他的算法,例如遗传算法,傅立叶变换,数字滤波,神经网络,图像处理等等。
-Kalman Filter Introduction
Recently I found that some of the problems a lot of people are very interested. So here we are hoping to do their ability to discuss with you some of the best of its ability algorithms. Now first discuss the Kalman filter, if time and ability permit, I also want to be able to write about other algorithms, such as genetic algorithms, Fourier transform, digital filtering, neural networks, image processing, and so on. Platform: |
Size: 14336 |
Author:韩雪峰 |
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Description: A novel method based on a combination of the Extended Kalman Filter (EKF) with Particle Swarm Optimization (PSO) to estimate the speed and rotor flux of an induction motor driveis presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line).Computer simulations of the speed and rotor-flux estimation have been performed in order to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms (GAs) show that the results are very encouraging and achieve good performances. Platform: |
Size: 665750 |
Author:pudn0507@yahoo.fr |
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