radar-systems

完美的OFDM系统的MATLAB仿真程序，希望对研究OFDM的同志有所帮助(Perfect simulation program MATLAB OFDM system, in the hope of OFDM help comrades)

Following code converts given video (in.avi) to QVGA (320x240) resolution video (out.avi). This example shows how to use video related functions in MATLAB.

模拟退火的源程序，matlab编写，多次试用成功(simulated annealing of the source, Matlab prepared several successful trial)

a finite difference time domain 3-d program

％ 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)

锁相频率合成器的simulink模型，可验证电路设计的工作过程和合理性。(Phase lock loop)

多处理器调度 均场退火matlab程序,100％能运行(Multi-processor scheduling matlab mean field annealing procedure, 100 will be able to run)

MIMO系统中4发送4接收的最大似然检测算法，可自行扩展到其他发送结构(MIMO systems send four received the maximum likelihood detection algorithm, they are free to expand to other transmit architecture)

constrained linear least square implementation

利用遗传基因算法对SVM-RFE算法进行优化，从而获取更优异的特征，提高检测率，该算法的SVMtrain利用matlab自带的函数(The use of genetic algorithms to optimize the SVM-RFE algorithm, in order to gain more excellent features, improve the detection rate of the algorithm using matlab comes SVMtrain function)