bellman_1

This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition

通过A星算法寻找最优路径到达目标,可自由设置障碍,能运行成功(optimal path planning )

说明：  使用matlab对蓝牙调频通信系统进行仿真(Use matlab for Bluetooth FM communication system simulation)

基于matlab的无刷直流电动机控制仿真，在simulink下建立系统模型(The brushless dc motor control system based on simulink simulation )

MATLAB finite element code

雷达的一些基础函数，关于测距，DOPPLER频移计算，距离计算（雷达方程）(Basic function of the radar, ranging, DOPPLER frequency shift calculated distance calculation (radar equation))

利用matlab编程求解雷诺方程，用有限差分法将雷诺方程转换成非齐次的线性方程组(Reynolds equation solved using matlab programming, finite difference method will be converted to the Reynolds equation linear equations nonhomogeneous)

采用双闭环控制的单相逆变器控制结构，simulink 仿真结果正确(PI control，realised the unity power factor)

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

MATLAB 算法大全，找到的比较好的学习资料(MATLAB algorithms Daquan, found a better learning materials)