digital-modulation-

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

说明：  动态环境中使用非线性模型预测控制的路径规划(Path planning using nonlinear model predictive control in dynamic environments)

一个关于无向图推理模型的代码，可用于图像处理(An undirected graph inference on the model code)

基于MATLAB/SIMULIN，搭建的光伏系统最大功率跟踪爬山法的定步长模型(Structures of the PV system based on MATLAB/SIMULIN, climbing method of maximum power point tracking fixed step model)

Genetic Algorithm for multi objective optimization

包含Jacobi和Seidel两种迭代法，用于求解线性方程，计算简单，收敛快(Contains two kinds of Jacobi and Seidel iterative method for solving linear equations, computing simple, fast convergence)

说明：  典型混沌系统logistic1D混沌 图像加密代码(chaotic image encrypt)

利用随机序列生成跳频序列，用于跳频通信并给出误码吕曲线。(Use of random sequence to generate frequency-hopping sequence for frequency hopping communication and give BER curves Lv.)

this is basic matlab explanation. i will upload 5documents.

Demo of condensing technique for data reduction(Demo of condensing technique for data redu ction)