CGA-algorithm

预测股市的matlab程序，可以选择神经网络类型，更可以推广使用(Stock market prediction matlab program, you can choose the type of neural network, but also to promote the use of)

Differentiation of the Gaussian pulse

精通Matlab与C/C++ 混合程序设计(第2版)(Proficient in Matlab and C/C++ mixed program design (2nd edition))

我国配电网一般采用中性点非有效接地方式，该配电网通常被称为小电流接地系统。故障选线是长期以来国内外关注的一大难题。提供了一种判别单相接地故障的程序，以及程序所用的数据。数据是EMTP仿真结果。(China' s distribution network is generally used non-effectively grounded neutral manner, often referred to as the distribution Netcom small current grounding system. Fault line is a major concern of long-standing problem at home and abroad. Provides a ground fault identification procedures and procedures used by the data. EMTP simulation results data.)

这是一个很好的，比较简单的高斯信道仿真程序，里面包括安全信道容量。本程序通过10000次信道采样获得平均信道容量。(It is a good code for capacity in Gauss channel.)

改进自相关法提取基音周期，去除声道的影响。(Improved auto-correlation method to extract the pitch period to remove the influence of channel.)

RRT算法是一种基于采样的规划算法,采用算法生成的相邻点之间的路径可以是经过运动学动力学仿真生成的可执行曲线,通过对状态空间中的采样点进行碰撞检测避免了对空间的建模,适合用来解决含有运动力学约束的路径规划问题.(RRT algorithm is a sampling-based planning algorithm, using path algorithm generated between adjacent points can be generated through the kinematics and dynamics simulation executable curve, through the state space of the sampling points to avoid the collision detection modeling of space, a suitable solution to contain the movement mechanics path planning constraints.)

one dimension problem kalman filter, using velocity information

信息论中计算信道容量的matlab编程代码，经测试可用。(Information theory to calculate the channel capacity matlab programming code, have been tested.)

介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)