MATLAB-control-system

怎样运用各种各样的抛出的方法。在这个例子这个你就可以学习到这个异常的抛出(How to use a variety of throw method. In this example, you can learn from this to this exception is thrown)

wav file to vector converter

Maximum A Posteriori probablity (MAP) algorithm

Independent Component

利用matlab实现归一化处理，可用处理大量数据(Using matlab to achieve normalization processing, handling large amounts of data available)

基于泊松过程的检测与估计原理和方法，对无符号间干扰信道中的类似问题进行仿真，并最终给出了仿真数据趋势图。(Poisson process based on principles and methods of detection and estimation of inter-symbol interference-free channel to simulate a similar problem, and ultimately gives the simulation data trends.)

利用基尔霍夫（KA）驻留相位近似求解粗糙面散射系数(Use the Kirchhoff (KA) stationary phase approximation solution of rough surface scattering coefficient)

从 All Functions选项板上访问MATLAB 脚本节点,其调用方法:Functions→All Functions→Analyze→Mathematics→Formula →MATLAB Script,打开 MATLAB Script节点即可进行操作。(Linear and nonlinear systems. A system is linear if all its elements are linear,and nonlinear if any element is nonlinear.)

说明：  用MATLAB语言编的程序，用来解决一个遗传算法的实际问题(Using MATLAB language of Procedure, a genetic algorithm to solve the practical problems)

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)