利用FLICM算法进行图像聚类的matlab程序代码 Matlab

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

Test of Object Tracking

说明：  详细讲解EM（期望最大化）算法，并使用混合高斯分布示例编程实现解答(Explain EM (expectation maximization) algorithm in detail, and use mixed Gaussian distribution example programming to realize the solution)

Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf

很不错的图像分割matlab源代码，代码相对比较简单，易于理解(Very good image segmentation matlab source code, the code is relatively simple, easy to understand)

cx_3 storage source code with examples

基于matlab算法开发点云数据x/y/z坐标提取，算出相关粗糙度。(The point cloud data x/y/z coordinate extraction was developed based on matlab algorithm to calculate the correlation roughness.)

calipso二级气溶胶AOD月平均廓线(Monthly Average Profile of Calipso Secondary Aerosol AOD)

说明：  采用边界元法求解二维平面上热传播问题的MATLAB程序(MATLAB program for solving heat propagation in two dimensional plane by boundary element method)

upf滤波算法源程序，另包含EKF、UKF，PF算法源程序(UPF source filtering algorithm, and the other contains the EKF, UKF, PF algorithm source code)