BP

　MUSIC 算法是利用接收数据的协方差矩阵(Rx)分离出信号子空间和噪声子空间，利用信号方向向量与噪声子空间的正交性来构成空间扫描谱，进行全域搜索谱峰，从而实现信号的参数估计。(MUSIC algorithm is used to receive data covariance matrix (Rx) to isolate the signal subspace and noise subspace, using the signal direction vector and noise subspace orthogonality to form the spatial scan spectrum, full-domain search peaks in order to achieve signal The parameter estimation.)

here the all program which have mimo ofdm system materials.

针对十六阵元的圆阵用matlab仿真出的方位波束图。(Array element for the sixteen matlab simulation using a circular array of directional beam pattern.)

k分布复海杂波条件下的目标cfa检测程序(kDISTRUBUTION cfaR)

该程序实现时域LMS算法，并用统计的方法仿真得出不同步长下的收敛曲线(Implementation of the procedure time-domain LMS algorithm, and simulation statistics do not come under the simultaneous convergence of a long curve)

课设作业，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角(Attitude control of spacecraft Contains the pitch angle, roll angle，Tilt angle, sideslip angle)

全局优化工具箱 参考资料 官方资料 值得收藏 (tutorials of toolbox for optimization very uesful)

说明：  连续波信号调频的雷达处理,利用MATLAB/Simulink进行编程和仿真(FM continuous wave radar signal processing using MATLAB/Simulink programming and simulation)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

Template Classes的用法(Template usage)