搜索资源列表
卡尔曼滤波仿真很好的算法
- 本程序是一个很好的对卡尔曼滤波进行仿真的程序
KalmanFiltering
- 扩展卡尔曼滤波算法C语言实现：实现对二维状态变量的预测及跟踪。包括卡尔曼滤波初始化函数，负责初始化状态变量的值，过程噪声，测量噪声，以及状态转移矩阵。 卡尔曼滤波函数负责对状态变量进行迭代滤波，整个过程包括状态预测，协方差预测，测量预测，计算卡尔曼增益，状态量更新，协方差更新。(To realize the prediction and tracking of two dimensional state variables. It in
Kalman Filtering - Theory
- 对卡尔曼滤波算法在matlab中的应用进行了详细的讲解，并进行了理论的推导(The application of Calman filter algorithm in MATLAB is explained in detail, and the theoretical derivation is carried out.)
kalman2.m
- 卡尔曼滤波算法的实现，对自己产生的数据进行拟合(The implementation of Kalman filter algorithm to fit the data produced by himself)
Desktop
- 编写卡尔曼滤波算法，以匀速直线运动为例，估计运动轨迹和运动速度，以及估计值与真真实值的偏差(kalman filter algorithm,using linear uniform motion as example, eslimate the position.speed,and giving the deviation of estimation value and real value)
KF
- 卡尔曼滤波算法 经典的例程 matlab程序，可以帮助很快速的理解卡尔曼滤波(Calman filter algorithm classic routine matlab program, can help a fast understanding of Calman filtering)
ada_Boost
- 卡尔曼滤波算法程序 和集成学习算法程序。(Kalman filter algorithm program)
Kalman_Filter_1_22
- 卡尔曼滤波算法实现，上述公式能够实现卡尔曼滤波(The Calman filtering algorithm is realized, and the above formula can realize the Calman filter)
无迹卡尔曼滤波程序
- 目标定位算法的程序，无迹卡尔曼滤波程序代码(Program of target location algorithm)
扩展卡尔曼滤波
- 扩展卡尔曼滤波matlab代码，有注释，适合学习扩展卡尔曼滤波算法(ExtendedKalmanFilter-matlab-code)
D-OA
- 卡尔曼滤波算法实现数据融合，多传感器数据融合，文件比较大，但是可以参考使用(Calman filtering algorithm achieves data fusion, multi-sensor data fusion, and the file is relatively large, but it can be used for reference.)
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法，以及与卡尔曼滤波算法的对比，用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNS
基于卡尔曼滤波的运动目标检测，matlab代码
- 基于卡尔曼滤波算法的运动目标检测，做视频车道线检测，动态车辆识别，行人检测的朋友可以参考一下(Based on Calman filter algorithm for moving object detection, do video lane detection, dynamic vehicle recognition, pedestrian detection friend can refer to.)
kalman
- 卡尔曼滤波算法，直接加入工程即可用。很好用的(Calman filtering algorithm)
main
- 对两组温度进行估计，并通过分布式卡尔曼滤波算法进行融合(Two sets of temperature are estimated and fused by distributed Kalman filter algorithm.)
kalmanfilters
- 算法用于锂离子电池，用卡尔曼滤波算法进行状态估计并进行预测(state estimation and estimation)
卡尔曼在船舶GPS导航定位系统中的应用
- 船舶GPS导航过程中遇到的误差，采用卡尔曼滤波算法处理(Errors encountered in ship GPS navigation are handled by Kalman filter algorithm)
模糊+卡尔曼滤波
- 属于MATLAB编程代码，可用于参数估计及寿命预测(Can be used for parameter estimation and life prediction)
基于卡尔曼滤波的电池荷电状态估计
- 电池荷电状态检测算法的matlab仿真。(Matlab simulation of battery charging state detection algorithm.)
EKF
- 扩展卡尔曼滤波算法锂离子电池SOC估计中有较广泛的应用，其精度高，鲁棒性好，算法简单(The extended Kalman filtering algorithm has a wide range of applications in SOC estimation of lithium-ion batteries, with high accuracy, good robustness, and simple algorithm)