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kalman
- 卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。本程序实现了基于kalman的目标跟踪。-Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements (in English: measu
EKF_2D
- 该程序是电力系统扩展卡尔曼滤波算法的程序，应用于电力系统动态状态估计-The program is extended Kalman filter algorithm power system procedures, applied to power system dynamic state estimation
lmekf
- 经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测-Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and t
Kalman1
- 卡尔曼滤波matlabl程序，去除噪声,数据处理技术,估计动态系统的状态-Kalman filter matlab program，Noise removal, data processing technology, dynamic state estimation system
estimateSOC7state
- 利用m函数编写扩展卡尔曼滤波程序实现电池负荷状态估计-Using the m- function to Write the Extended Kalman Filter Program to Realize the Charge State Estimation
ekf
- 扩展卡尔曼滤波程序，应用于非线性系统状态滤波估计(extend kalman filter)
matlab程序
- 主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the