单站相位差变化率定位

说明：  偏微分方程的MATLAB解法--陆君安.尚涛.谢进.谷平--武汉大学出版社--2001.8(MATLAB Solution of Partial Differential Equations- Jun-An Lu. Shang Tao. Xie Jin. Gu Ping- Wuhan University Press- 2001.8)

说明：  模拟干涉图像的程序，matlab编写，很实用，对正在学习的朋友有帮助。(Interference image of the process simulation, matlab written, very practical, and helpful friends are learning.)

canny算子边缘检测源码，用matlab实现，如果需要，请及时下载(canny edge detection source, using matlab to achieve, if you need, please download)

计算指定位置的固体潮,并绘制固体潮的时变曲线(calculate gravity tides)

步态识别 matlab编程包括建立路径、生成训练库、视频帧提取、格式归一化、生成步态能量图进行识别(Gait recognition matlab programming)

An efficient program to do Selection-Sort for vectors in C++!

关于soft matting的MATLAB代码(A closed form solution to Natural Image Matting A. Levin D. Lischinski and Y. Weiss )

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

2013年A题程序，车道交通的元胞自动机MATLAB程序(MATLAB celluar)

计算puma560手臂雅可比矩阵，对初学者很有帮助(Calculate puma560 arm Jacobian matrix)