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支持向量机在matlab中的安装工具箱 lssvm(matlab application support vector machine toolbox)

再高斯信道和瑞利信道下bpsk误码率的分析(Again Gaussian and Rayleigh channels channel bit error rate analysis bpsk)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

实现ukf滤波 目标跟踪 实现ukf ekf pf三种滤波算法的比较(Realization of UKF filtering target tracking Comparison of three filtering algorithms for UKF EKF PF)

说明：  MPPT智能算法，包括粒子群优化、细菌觅食、两种算法(MPPT intelligent algorithm, including particle swarm optimization, bacterial foraging, two kinds of algorithms)

此工具箱是英国设菲尔德（Sheffield）大学编写的MATLAB遗传算法工具箱，是使用的最广泛的遗传工具箱之一。在《MATLAB 遗传算法工具箱及应用》作　者：雷英杰 出版社：西安电子科技大学出版社 这本书中重点介绍了此工具箱。( Sheffield genetic matlab toolbox)

非常不错的非线性非高斯环境下的粒子滤波程序(very good nonlinear non-Gaussian environment under the particle filter process)

一艘油轮的仿真程序，可以通过此程序很好的仿真油轮船舶的动态特性，实时仿真曲线。(tank simulation)

对于实际数据进行SAR成像CS算法的代码(Code for SAR imaging CS algorithm of actual data)

用蒙特卡洛法模拟编写的计算粒子的多次散射和单次散射的比较(Comparison of multiple scattering method using Monte Carlo simulation calculations prepared particles and single-scattering)