FCMClust

说明：  双三次插值matlab代码，内含lena标准测试图像(Bicubic interpolation, with lena in zip)

matlab GUI 多界面数据传递实例(matlab gui )

MATLAB信号处理Digital image processing using matlab一书的课后解答(MATLAB signal processing DIgital Image PRocessing an after-school book answers)

交替方向法求解简单的变分不等式问题。参考Decomposition Method with a Variable Parameter for a Class of Monotone Variational Inequality Problem(Alternating direction method for solving a simple variational inequality problem. Reference Decomposition Method with a Variable Parameter for a Class of Monotone Variational Inequality Problem)

宽带认知无线电频谱感知方法，两种常用方法，新颖方法(Broadband cognitive radio spectrum sensing method, two common methods, novel methods)

Matlab 与 modelsim 协同仿真的例程设置好modelsim运行环境后，在源码路径执行manchester_tb，即可完成协同仿真的过程。(ModelSim co-simulation with Matlab routine ModelSim runtime environment is set up after the implementation of source path manchester_tb, to complete the process of co-simulation.)

这是一篇关于如何运用超图的理论经过办监督学习用在特征选择上的一篇ecml文章(This is an article on how to use the hypergraph theory after office supervised learning with a ecml articles feature selection)

将图像进行主成分分析，并显示第一主成分，方法很好用的(The principal component analysis is performed and the first principal component is displayed.)

基于IEEE33节点的一份利用yalmip建模求优化的一份程序，很难得(A program based on IEEE33 nodes that uses yalmip modeling for optimization is very difficult to obtain)

说明：  复杂网络研究与建模 总起来说这是一个关于矩阵的运算，用到了c语言里面的东西，实现一个矩阵的逆运算和矩阵的转置等，最终实现的是一个初始节点为4个节点的有向图，随即扩展为一个10000*10000的巨型矩阵，得到该有向图的图形， 与计算机图形学类似，该程序是在构建了一个算法后，用MATLAB实现了一个无标度网络的图形中的各个节点的概率密度，并根据各个节点的概率密度绘出该图 (将中文译成英语 And modeling complex networks Collectively this is a computation on the matrix, use the stuff inside c language to realize the inverse of a matrix and a matrix, etc., and ultimately is an initial node to four nodes directed graph, then Expands to a huge matrix 10000* 10000, by the digraphs graphics, And similar computer graphics, the program is built upon an algorithm, using MATLAB to achieve a scale-free network each node in the graph the probability density and probability density according to each node in the graph drawn )