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mulGSND mulGXF1　解非线性方程组　 非常好用的算法　希望大家能用到　(Nonlinear equations is very useful method to hope that we can)

S_函数使用及应用举例，本书详细的介绍了关于matlab中simulink仿真的基础知识(simulink S-function example)

some code in matlab programming on NSGA. the code is complete and written using cvx tools. enjoy

ode numerical simulation of vertical cavity semiconductor optical amplifier

说明：   2.wps ：为作业最终的仿真结果与分析 正态分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为N（0,1）、N（0,4.26）、N（-2.5,1）的情况 瑞利分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为Ray（1）、Ray（0.36）、Ray（3.4）的情况 泊松分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3、4分别为Lamda（0.2）、Lamda（1）、Lamda（6）、Lamda（10）的情况 0.m为将三或四种情况画到一副图中并进行仿真结果对比的图像 ((2.wps:) for the job the final simulation results and analysis of the normal distribution:. Cpp written by C++ main program to obtain the simulation data. Txt document for storing simulation data, m grounds matlab drawing according to the simulation data obtained the results, wherein 1, 2, 3 respectively, for the N (0,1), N (0,4.26), N (-2.5,1), of Rayleigh distribution: CPP grounds C++ prepared by the main program to obtain its simulation data, txt for storage simulation data documents, the. m grounds MatLab drawing the results according to the simulation data obtained, wherein 1,2,3 respectively ray (1), ray (0.36), the case of the ray (3.4) poise the loose distribution: cpp grounds written main program C++ to get the simulation data txt simulation data is stored documents, m grounds matlab based on the results of the simulation data obtained drawing, in which 1, 2, 3, 4, respectively 0.m case of Lamda (0.2), Lamda (1), Lamda (6), Lamda (10) of the three or four painting to a graph, )

mimo matlab code for 4-qam communication systems

主要用于一维信号的稀疏分解，适用于Gabor等多参数字典求取最佳原子(It is mainly used for sparse decomposition of one-dimensional signals. It is suitable for Gabor and other multi parameter dictionary to obtain the best atom.)

该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献(The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system based on texture)

simulink仿真源码，一定会对你有所帮助！(The simulink program is helpfull for you!)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)