kalman

说明：  目标视频跟踪的基础，kcf的matlab版，可使用otb工具箱(The basis of target video tracking, the matlab version of KCF, can use OTB toolbox)

说明：  用MATLAB实现的边缘提取函数，实现了sobel算子、canny算子，Robert算子、prewitt算子(Using MATLAB to achieve the edge extraction function, sobel operator, Canny operator, Robert operator, Prewitt operator)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

smart antenna and adaptive antenna array beamforming

基于matlab的Turbo码仿真，并绘出BER曲线(Turbo decode and encode by matlab)

用matlab实现的四类基本滤波器的设计代码，可运行(Matlab implementation of the four basic types of filter design code can be run)

有限差分正演模拟 波场快照 存为gif动画(finite difference modelling)

surf特征点检测，并实现两幅图像特征点的匹配(surf feature point detection, and the two images matching feature points)

computes the intersection of a plane and a segment

说明：  随机森林是一种有监督学习算法，是以决策树为基学习器的集成学习算法。随机森林非常简单，易于实现，计算开销也很小，但是它在分类和回归上表现出非常惊人的性能，因此，随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)