markov-processes

Feigenbaum this is development of matlab

刘金琨编写的《滑模变结构控制matlab仿真》的源代码(Liu Jinkun prepared by the " sliding mode control simulation matlab" source code)

gscale function for matlab

基于Wolf方法计算Lyapunov指数，直接运行文件Wolf_3DLyapunov.m(Wolf calculated based on the Lyapunov exponent, Run the file directly Wolf_3DLyapunov.m)

模式分类（中文版），课后题，164页第2题，MATLAB源程序(Pattern Classification (Chinese version), after-school question, 164 2 title, MATLAB source code)

matlab做的关于最短路问题的实现。包含了2个课件。(matlab done on the realization of the shortest path problem. Contains two courseware.)

pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器(using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature space classification svm )

自己实现的matlab gcc算法，声源定位的一部分(My own version of gcc in matlab, can be used in locating the speaker.)

自动画圆小程序 ：只要有了坐标，就可以方便的大量快速画圆(Automatic Circle applet: As long as with the coordinates, you can quickly draw a circle to facilitate a large number of)

考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。(Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.)