matlab1

classification algorithms

Decentralized model predictive load-frequency control (MPC)

两关节机械臂的独立PD控制，控制算法和机械臂模型均采用s_function函数编写。(Two independent joint manipulator PD control, control the preparation of the algorithm and manipulator model are used s_function function.)

Lucas-Kanade光流法，计算两幅图像之间的光流，很有用的一段程序(Lucas-Kanade optical flow method to calculate the optical flow between two images, very useful for some procedures)

(Artech House Mobile Communications Library) Siegmund Redl, Matthias Weber, Malcolm W. Oliphant-GSM and Personal Communications Handbook-Artech House Publishers (1998)..a very good book for mobile engineers and students as well

VLE, matlab, vapor liquid equilibria calculation

matlab的频谱矫正程序以及实例，可用于搭配滤波器产生需要的信号(err)

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

Go-cfar仿真程序 ：matlab实现cfar处理，为子函数，可供其他程序调用(Go-cfar Emulator: matlab realize cfar treatment for Functions available for other programs call)

使用Capon、MUSIC、ESPRIT和PM多种算法进行doa估计，通过谱峰搜索函数估计到达角，并使用蒙特卡洛方法估计各算法的RMSE。（可能计算时间较长，如需节省时间可以减小蒙特卡洛次数）(Use Capon, MUSIC, ESPRIT and PM variety of algorithms doa estimated by peak search function estimated arrival angle, and use the Monte Carlo method to estimate the various algorithms RMSE. (Possible to calculate a long time, To save time you can reduce the number of Monte Carlo))