matlab 绘图

线性调频信号是一种雷达常用的电磁波信号，当雷达信号检测到目标时候，反射后得到雷达回波信号，此时由于多普勒效应，信号的频率发生偏移，这个源码仿真出雷达检测到目标加速度信息的回波信号。(LFM signal is a commonly used electromagnetic radar signal, when the radar signal detection to the target time, after reflection of radar echo signal, at this time due to Doppler effect, the signal)

说明：  matlab 的一本书的光盘，我们学校一直用这个，大家反映很好(matlab a book of CDs, our school has been using this, we reflect the very good)

汽车理论中汽车制动系统的matlab程序(Car theory matlab program Automotive Brake Systems)

通信系统仿真--具有瑞利分布的随机序列，pn序列及其他仿真程序(Communication System Simulation- Rayleigh distribution with the random sequence, pn sequence and other simulation program)

三相桥式可控整流电路的MATLAB仿真,非常详细适合初学者(MATLAB simulation of three-phase bridge controlled rectifier circuit, very detailed for beginners)

超松弛迭代法数值实验，matlab程序，含部分注释(Numerical experiments over relaxation iterative method, matlab program, including some comments)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

matlab description for GA optimization

这些是薛定宇控制系统辅助设计第五章中部分题目的simulink的设计图及代码(Xue Dingyu control system design and code-assisted design of the subject of the fifth chapter part simulink)

is an very efficient program for student