softmax

说明：  超分辩率重建的两种算法对比POCS+IBP(Comparison of two super resolution reconstruction algorithms POCS + IBP)

基于supermap的二次开发，数据管理功能强大，除了地图的基本操作还有文件操作(Data Management is a powerful addition to the basic operation of the map file operations based on the secondary development of supermap)

强化学习解最优控制的matlab代码，可以运行(The matlab code of reinforcement learning solution optimal control, it can run)

说明：  该程序作为生成圆的主程序，可以用来实施圆的生成(This program is used as the main program of the coordinate measurement path planning and can be used to implement the path generation.)

单相lcl滤波逆变器并网电网电流及电容电流双闭环仿真电路图(Single-phase inverter grid lcl filter grid current and capacitive current dual-loop simulation circuit)

说明：  第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

PMSG 风力发电 MPPT控制 仿真例子(PMSG wind power generation MPPT control simulation example)

说明：  DS-CDMA数字基带传输系统+MATLAB仿真图+程序代码(DS-CDMA digital baseband transmission system + MATLAB simulation diagram + program code)

基于薄板样条插值法的非刚性图形配准，带有gui界面(Thin plate spline-based non-rigid graph matching, with a gui interface)

说明：  关于压缩感知重构算法，　压缩感知（Compressive Sensing, or Compressed Sampling，简称CS），是近几年流行起来的一个介于数学和信息科学的新方向，由Candes、Terres Tao等人提出，挑战传统的采样编码技术，即Nyquist采样定理。(Reconstruction algorithm on compressed sensing, compressive sensing (Compressive Sensing, or Compressed Sampling, referred to as CS), is popular in recent years, a range of mathematics and information science a new direction, by Candes, Terres Tao et al, challenge the traditional sample coding, that Nyquist sampling theorem.)