QPhild

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

matlab使用程序教程，包括四部分：1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇；85-100是：数值分析篇(matlab tutorial to use the program, including the four-part :1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

calculation of short time energy and zero crossing rate by using mat lab

Lee Teawon s independent vector analysis matlab program for blind source seperation.

说明：  运用随机森林方法对数据进行建模，可以用模型进行预测与分类(Random forest prediction and classification)

说明：  Q学习算法的一个基础例子 可以从这上面进行修改满足自身要求(A basic example of Q-learning algorithm can be modified to meet its own requirements)

多目标优化算法的求解方法，是SCE-UA方法的升级版，很好用的，供大家分享(Method for solving multi-objective optimization algorithm is an upgraded version of the SCE-UA method, good for people to share )

改进粒子群算法优化BP神经网络的权值，建立BP神经网络(Improved PSO algorithm optimizes the weights of BPneural networks to establish the neural networks.)

the above uploaded codes are very useful for image segmentation,edge detection

matlab2011 64位 win7系统 PIDNN test(matlab2011 64bit win7)