GuideMatlab

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Matlab object serialization functions built with undocumented mex functions `mxSerialize` and `mxDeserialize`. The function can convert any ordinary matlab variable into uint8 array. These functions are unsupported and may change at any time without notice in the future Matlab release.

基于Matlab的电力系统短路计算程序，可在一定条件下计算出特定电力系统各支路的短路电流和个节电的短路电压(A program which based by matlab that fucking translation fucking english describ)

This is the generation code for direct spread spectrum using pseudo-random noises. it shows how to generate it and also is implemented bit error ratio and the checking of autocorrelation.

该程序是硬核聚类和自适应硬核聚类的程序。(The program is hard-core hard-core clustering and adaptive clustering procedure.)

图像边缘检测，并有gui界面的设计 有matlab程序生成exe的部分内容(detection of the image edge and establish the gui)

两个阈值的基于otsu的图像分割方法，使总方差达到最大(image segmentation using Otsu with two thresholds)

SA Encryption and Decryption using Matlab The program set contains thirteen files listed below. errormeg.fig errormsg.m helpmsg.fig helpmsg.m inputmsg.fig inputmsg.m mesgcut.m pro2.fig pro2.m rsacore.m readme.txt screenshot.gif In order to run the program please call pro2.m under Matlab 6.0 Environment. System Requirement Matlab version 6.0 and if necessary, Maple version 6.0 on any platform PentiumII 300 MHz or equivalent.

Transient Overvoltage in Power System

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)