PWM_Rectifier_3phase

m.file match algorithm for image processing applications

he power method will be applied to the jacobian matrix of the 2-D henon map to approximate the first Lyapunov exponent by creating a graph of ln|yn| vs. n, where n is the number of iterations of the power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an approximation to the largest Lyapunov exponent.(he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.)

Peak signal to noise ratio(psnr) of the image

对MIMO发送、接收的各个步骤进行仿真分析，并有资料说明，适合初学MIMO知识的使用(MIMO transmission received various steps of the simulation analysis, and information on the use of suitable for beginners MIMO knowledge)

使用了plot_hht程序包，其使用了三个终止条件，驻留分量的单调性，极值点与零点的个数相差不超过1，还有黄锷1998经典文献提出的 (matlab hht)

《精通MATLAB与C/C++混合程序设计》刘维第二版( Proficient in MATLAB and C/C++ mixed programming design second edition of Liu Wei)

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 。)

The following Matlab project contains the source code and Matlab examples used for 1d blaise filter for quick smoothing without curve fitting toolbox. This is an old filter I used before enjoying more sophisticated options Matlab now offers. Easy to modify, change weights and window size according to the type of noise present.

据挖掘算法是根据数据创建数据挖掘模型的一组试探法和计算。 为了创建模型，算法将首先分析您提供的数据，并查找特定类型的模式和趋势。算法使用此分析的结果来定义用于创建挖掘模型的最佳参数。然后，这些参数应用于整个数据集，以便提取可行模式和详细统计信息。(Data mining Detailed )

bayesian classification聚类贝叶斯的分类算法(bayesian classification:Clustering of bayesian classification algorithm)