gen_target

L类四阶复延迟时频分布程序，可用来做仿真信号的时频分布(L class of fourth order delay time-frequency distribution of complex procedures, can be used for simulation of time-frequency distribution)

这是John Wiley出版的<Computational Colour Science using MATLAB.e2ban>教科书书附带的程序代码,自成一体为Matlab下的色度学工具箱. 建议将解压文件放到本地机已经安装Matlab的路径中,在toolbook文件夹下自己创建一个名为colour的文件夹中.比如:For example, this may be c:Program FilesMATLABp65 oolboxcolour 但具体路径取决于Matlab在你机器中的安装路径. 如果你将该colour文件夹加入Matlab环境路径中,该工具箱就与其它工具箱一样使用.-This is John Wiley published(It is published by John Wiley <Computational Colour Science using MATLAB.e2ban> Textbook book accompanying program code, self-contained for the colorimetric under Matlab toolbox. Suggested extracting file on the local machine has been installed in the path of Matlab in toolbook folder create yourself a folder named colour For example: For example, this may be c: Program Files MATLABp65 toolbox colour but the exact path depends on your machine Matlab installation path if you join the colour folder path in the Matlab environment, the tool box to use the same connection with other toolkits.-This is John Wiley published)

IEEE14节点进行牛顿拉弗逊法计算电力系统潮流计算(IEEE14 node calculates Newtonian Raphson method for power flow calculation)

将梁分成9个单元，在中间受力，建立整体的刚度矩阵，建立整体模型。(The beam is divided into nine units, in the middle forces, the establishment of the overall stiffness matrix, the establishment of the overall model.)

说明：  《数学建模》讲座中的“线性规划”一章，课件及配套matlab源代码(《Mathematical Modeling》seminar in the 《Linear Programming》， ppt and related source code matlab)

PSO算法的基本matlab代码，可供初学者学习，代码简单，易学易懂(PSO algorithm is the basic matlab code, for beginners to learn the code simple, easy to understand)

LS_SVM工具箱，很有用的，也很好用，大家可以试试，希望对你们有帮助。(LS_SVM toolbox, very useful, also very good, everyone can have a try, hope to help you. )

一个50行的Matlab有限元程序（二维非线性问题），执行fem2d_nonlinear.m即可。(A 50-line Matlab finite element program (two-dimensional nonlinear problems), the Executive fem2d_nonlinear.m can.)

Function to do scan type one

用matlab产生自相关系数固定的序列,然后再观察其功率谱密度.(using Matlab correlation coefficient derived from the fixed sequence, and then observed its power spectral density.)