HHT434

m.file phase congruency for image processing applications

实现维纳滤波器的设计，进过实践完全可行，请放心下载(Achieve Wiener filter design, into the practice entirely feasible, please rest assured download)

实现fisher判别方法，对标准变量建立判别函数，然后判别位置的变量的类别(Achieve fisher discriminant analysis, discriminant function to establish the standard variables, and then determine the type of the variable position)

单相离网逆变器，半桥式I型结构，三电平逆变。simulink仿真模型(Single-phase off-grid inverter, half bridge type I structure, three level inverter.Simulink simulation model)

采用MATLAB编程用GP方法计算关联维的源代码(MATLAB programming method used GP correlation dimension of the source code)

Hear PRESSURE PLOTTING

有源功率因素校正APFC电路，采用电压外环+电流内环控制策略。经验证可很好实现功能(Active Power Factor Correction APFC circuit voltage outer the+ current inner loop control strategy. Proven good functions)

neuro-fuzzy and Genetic algorithm are combined to find best input.

骨架。点云的提取。是国外的一篇论文。写的非常不错，采用Matlab实现。(Skeleton. Point cloud extraction.)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)