Intelligent-Control-of-matlab

sar图像去噪的几种新的方法，通过反复训练模板能有较高的识别率，快速扩展随机生成树算法。( Several new methods sar image denoising, Through repeated training XyjPRvRlate have higher recognition rate, Rapid expansion of random spanning tree algorithm.)

说明：  提供了稳定的自抗扰控制结构框图和仿真数据分析研究，方便学生做simulink仿真，学习自抗扰控制！(Provides stable research on the placement of ADRC control structures and simulation data analysis, which is convenient for students to do simulink simulation and learn ADRC!)

基于Haar wavelet的小波方法实现图像压缩，并附有图像实例(Haar wavelet-based method of implementation of wavelet image compression, together with examples of images)

The code in matlab help user do statistical analysis of time series

Load flow: This file is to solve the load flow problem in power systems

double_pendulum_documentation paper about it

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

这是关于RADRA仿真的.有如下代码placeClutter.m, plotDistLines.m, plotFOV.m, radarSimulation.m, runRadarSim.m, targetsReturn.m, radarSimulation.fig, analyzBuffer.m, buildAntenaGain.m, createTargets.m, displayTargets.m, handleRadarControlls.m, MTIcalcTargetsV.m(RADRA simulation. PlaceClutter.m following code, plotDistLines.m, plotFOV.m. radarSimulation.m, runRadarSim.m. targetsReturn.m, radarSimulation.fig. analyzBuffer.m, buildAntenaGain.m. createTargets.m, displayTargets.m. handleRadarControlls.m, MTIcalcTargetsV.m)

mpc example code for matlab

这是一本讲述matlab中涉及到统计方面的知道书籍，特别是对采样，GIbbs采样，都有很好的示例。(This is the one involved in matlab about statistics to know the book, especially for sampling, GIbbs sample, there are good examples.)