MIMO-Prj

一个MATLAB的课件提纲，对初学者应该有一点帮助(A MATLAB courseware outline, there should be some help for beginners)

image color segmentation.... very useful code

模型预测控制是20世纪80年代初开始发展起来的一类新型计算机控制算法。该算法直接产生于工业过程控制的实际应用，并在与工业应用的紧密结合中不断完善和成熟(Model predictive control is a new class of computer control algorithms developed in the early 1980s . The algorithm directly to produce practical applications in industrial process control , and continue to improve and mature closely integrated with industrial applications)

image denoising and multipupose filtering

一种关于矢量控制的仿真，和大家一起研究啊(With regard to the simulation of a vector control, and we study together ah)

this project s about smart antennas

空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

程序分形分析工具箱 - FracLab2.04MATLAB包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算，可视化建模仿真，文字处理及实时控制等功能。学科工具包是专业性比较强的工具包，控制工具包，信号处理工具包，通信工具包等都属于此类。(Program fractal analysis toolbox- FracLab2.04MATLAB including internal functions with hundreds of primary packages and several 30 kits. Kits can be divided into functional disciplines toolkit and toolkit. Function tool kit used to expand the MATLAB symbolic computation, visualization, modeling and simulation, word processing, and real-time control functions. Discipline tool kit is relatively strong professional toolkit, Control Toolkit, signal processing toolkit, communications toolkit belong to this category.)

几种beds的计算方法,matlab仿真rev,欢迎分享(Several beds of the calculation method, matlab simulation rev, welcome to share)