MATLAB_Command(All)

利用分支定届算法实现线性混合整数规划模型的求解（MATLAB代码）( using branch algorithm to solve the mixed integer linear programming model (MATLAB code))

利用lms自适应滤波器原理，实现波束形成。 波束形成器的零干扰容量随着迭代次数和干扰目标信号比的增大而改善。(Lms adaptive filter using the principle to achieve beamforming. Beamformer with the zero-interference capacity of the number of iterations and the target signal interference ratio increased to improve.)

to convert from depth to time in seismic data

DFT和FIR宽带波束形成源程序 可以自行设置参数 如载频强度 入射角度 信噪比等(DFT and FIR broadband beamforming source code can set the parameters such as the intensity of the incident angle of the carrier frequency signal to noise ratio, etc.)

matlab 神经网络 在电力系统中的负荷预测、 智能算法(matlab neural network load forecasting in power system, intelligent algorithms)

说明：  simulink里搭的并网逆变器单环电流控制，matlab版本2013a(Single loop current control of grid connected inverter, matlab version 2013a)

CDMA中传统多用户检测和MMSE多用户检测比较（前向和反向链路）(CDMA traditional MMSE multi-user detection and multi-user detection comparison (forward and reverse link))

using terlis code to generate stbc

matlab的二值化代码,将一副路面的图形中的边界线,显示出来(matlab' s binary code, a road graph of the boundary line, displayed)

The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.(The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.)