文件名称:bayes_demo
介绍说明--下载内容均来自于网络,请自行研究使用
目标跟踪的扩展卡尔曼滤波算法主函数的文件是:kal_demo.m
近似网格滤波的主函数文件是:bayes_demo.m
近似网格滤波划分网格的方法是:以目标上一个时刻的位置作为中心进行网格的划分,每个网格大小为1,总的区域为5*5
改进后算法的主函数文件是:trackiing_demo.m-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, with a total area of 5* 5 to improve the algorithm
近似网格滤波的主函数文件是:bayes_demo.m
近似网格滤波划分网格的方法是:以目标上一个时刻的位置作为中心进行网格的划分,每个网格大小为1,总的区域为5*5
改进后算法的主函数文件是:trackiing_demo.m-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, with a total area of 5* 5 to improve the algorithm
相关搜索: 卡尔曼
目标跟踪
卡尔曼滤波
matlab
目标跟踪
划分网格
order
tracking
target
tracking
kalman
filter
扩展卡尔曼
区域
extended
kalman
filter
in
target
tracking
目标跟踪
卡尔曼滤波
matlab
目标跟踪
划分网格
order
tracking
target
tracking
kalman
filter
扩展卡尔曼
区域
extended
kalman
filter
in
target
tracking
(系统自动生成,下载前可以参看下载内容)
下载文件列表
bayes_demo
..........\bayes_demo.asv
..........\bayes_demo.m
..........\create_slot.asv
..........\create_slot.m
..........\dispose_sensors.m
..........\find_area.asv
..........\find_area.m
..........\index.asv
..........\index.m
..........\measurement.asv
..........\measurement.m
..........\N.m
..........\predict_area.asv
..........\predict_area.m
..........\predict_leader.m
..........\randnum.asv
..........\randnum.m
..........\wucha2.jpg
..........\wucha3.jpg
..........\bayes_demo.asv
..........\bayes_demo.m
..........\create_slot.asv
..........\create_slot.m
..........\dispose_sensors.m
..........\find_area.asv
..........\find_area.m
..........\index.asv
..........\index.m
..........\measurement.asv
..........\measurement.m
..........\N.m
..........\predict_area.asv
..........\predict_area.m
..........\predict_leader.m
..........\randnum.asv
..........\randnum.m
..........\wucha2.jpg
..........\wucha3.jpg