MultitaskBCICode

neural network-alphabet - matlab

Vector_Control_SVPWM SPWM matlab 编程(Vector_Control_SVPWM Vector_Control_SVPWM SPWM matlab 编程)

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.)

雷达之小目标检测（隐身飞行器和武装直升机的雷达监测）(small radar target detection (stealth aircraft and armed helicopters and radar monitoring))

structural similarity index

K-means algorithm developed in Matlab. Classify data.

基于MATLAB7.0的统计信息处理，很厚的一本书，包含了特多的统计学算法及MATLAB实现，比如隐马尔科夫连，最小二乘法等统计学算法(Statistical information processing based on MATLAB7.0 very thick book that contains a special number of statistical algorithms and MATLAB implementation, such as hidden Markov with, least squares, a statistical algorithm)

定位应用，仿真定位误差图。用不同符号表示。(Positioning application, the simulation positioning error chart. With different symbol.)

此程序是有关用四阶龙格库塔法计算微分方程的程序。(This program is the fourth-order Runge-Kutta method to calculate the differential equations of the program.)

六轴机器人运动学仿真，包含正解工具箱和反解工具箱，并对六轴的奇异形位进行判断。( Six-axis robot kinematics simulation, including the positive solution toolbox and anti-solution toolbox, and the six-axis singular form to judge.)