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利用matlab和VC的混合编程,加速程序执行效率和开发速度.(using Matlab and VC mixed programming, the implementation of procedures to accelerate the development of efficiency and speed.)

找到了比较全的摄像机标定程序,与我设计相关,能够运行出结构,棋盘格,张正友法(Find a relatively full of camera calibration procedures associated with my design, can run out of the structure, checkerboard, Zhang Zhengyou method)

有关工频噪声的滤波算法的算法实现，分别用C语言和Matlab语言(you guan gongpin zaosheng de lv bo suanfa de suanfa shijian fenbie yong C and Matlab)

sound very useful e-book

模型预测控制中的预测控制，GPC的一种，还可以，希望有用(Model predictive control of predictive control, a GPC, and also, I hope useful)

说明：  一种非线性流形学习和维度缩减的算法，可以用来对数据进行降维和数据可视化。(Locally Linear Embbedding)

Differential PSK (DPSK) 􀂄 Inexpensive 􀂄 Quadrature Phase Shift Keying (QPSK) 􀂄 Twice as spectrally efficient than BPSK 􀂄 Offset QPSK (OQPSK) 􀂄 reduce envelope variation 􀂄 π/4 QPSK 􀂄 reduces envelope variations to a lesser extent than OQPSK can be noncoherently detected

1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)

offline handwritten character recognition

本程序是用于根据当地坐标信息来计算UTM坐标的转换程序，可能根据经纬高信息转换到当地的UTM坐标(This procedure is used for the conversion process according to the local coordinate information to calculate the UTM coordinates, according to latitude and longitude information may be converted to the UTM coordinates)