Ekf.Slam.DataAssociation

KL变换主分量分析 用于各种信号的处理包括图像信息的分析压缩等等(KL transform principal component analysis for a variety of signal processing, including image compression, and so the analysis of information)

Flood Fill unwrapping method

this matlab toolbox which is used for aptimization

这是一个脑电信号分析的matlab工具箱软件EEGLAB的中文操作手册，或许给英文不太好的同学们带来便利，希望对大家有用！(This is an EEG analysis matlab toolbox software EEGLAB of Chinese operating manual, maybe English is not good for the students to bring convenience, we want to be useful!)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

本程序是基于人工势场法的移动机器人的路径规划的仿真试验 (path planning based on artificial potential field)

Structured LPV Control of Wind Turbines

一本电子TCL语言教程，可为学习OPENSEES提供方便，其他有两个为调用ABAQUS的源程序UVMAT，另外两个是求解动力问题的matlab程序(An electronic TCL language tutorials, can provide convenient for learning OPENSEES, there are two other for invoking UVMAT source of ABAQUS program, the other two is to solve the dynamic problem of the matlab program )

数值方法(MATLAB版)(第四版)[Mathews,Fink著,周璐,陈渝,钱方等译](Numerical Methods Using MATLAB)

A fingerprint recognizing system is built with two principal components: the fingerprint admin istrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae.