pls2

实现matlab的caany边缘检测算法，并进行边缘的细化处理(To matlab caany edge detection algorithm, and edge thinning treatment)

计算加权加速度,毕设内容，高光谱图像基本处理，采用波束成形技术的BER计算。( Weighted acceleration, Complete set content, basic hyperspectral image processing, By applying the beam forming technology of BE.)

利用bp神经网络来对某地区的电力负荷进行预测(Prediction of Power Load Based on BP Neural Network)

用该进的粒子群优化算法来解决旅行商问题，即TSP问题（Traveling Salesman Problem）(Using the advanced PSO algorithm to solve TSP（Traveling Salesman Problem）)

Code for Alamouti using BPSK

应用有限元方法求解二维散射问题的matlab例程(Two-dimensional finite element method to solve the scattering problem matlab routines)

Feature Extraction from EEg

光伏逆变器的simulink仿真程序，仿真没有问题,很有用的资料(Photovoltaic inverter Simulink simulation program, the simulation is no problem, very useful information )

模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

通信系统建模与仿真第15章基于MATLAB程序(System Modeling and Simulation of Chapter 15 program based on MATLAB)