digitizeGraph

自适应信号处理工具箱，国外经典通信教材的配套源代码(Adaptive Signal Processing Toolbox, foreign classic communications materials supporting source code)

使用MVM算法实现信号的方位角估计 得出算法性能(MVM algorithm using signal azimuth estimation performance of the algorithm derived)

MULTIPLE INPUT MULTIPLE OUTPUT FOR WIRELESS COMMUNICATION

Neural Network in Finance (神经网络在金融界:赢得预言性的优势)全部原码。内容包括预测与估计，对时间数列的分析，利用神经网络进行降维和分级等很多例子。(Neural Network in Finance (neural networks in the financial sector : won prophetic edge) all the original code. Including forecasts and estimates, the time series analysis, the use of neural network classification dimensionality reduction and many other examples.)

this code generates transient signal

Matlab经典50题，从简单入手，对新手有很大的帮助。(Matlab classic 50 questions, ranging from simple start, there is a great help to the novice.)

Histogram Specification(Matching) : Image Processing

《Matlab图形和数据可视化》一书的附带源代码(MATLAB Graphics and Data Visualization Cookbook)

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)

说明：  基于匹配追踪的信号稀疏分解的一种新方法的仿真(Based on matching pursuit signal decomposition A new method for sparse)