rdSac

说明：  自己根据<最优化理论与基础>课本编的matlab程序 最优化问题求解: 牛顿法 自助输入目标函数及其梯度(Optimization: Newton Method Type in objective function and its gradient by yourself.)

Art Processing book Processing 2 Creative Programming Cookbook

输入交指结构滤波器所要求参数，包括中心频率，相对带宽，带外抑制，球的交指滤波器参数(Input interdigital structure required by the filter parameters, including the center frequency, the relative bandwidth, band rejection ball interdigital filter parameters)

说明：  kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)

说明：  基于SLNR准则的MIMO下行链路预编码(SLNR criteria based precoding MIMO downlink)

simulink model of henon map

图像处理函数 各类函数的具体使用方法介绍(Matlab)

这里用的是正交多项式变换法 实现两幅多聚焦图像的融合(Used here orthogonal polynomial transformation method is to achieve more than two-focus image fusion)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

MATLAB智能算法案例分析+源代码，共30个，可以满足一些常用的需求，供大家学习与交流(MATLAB intelligent algorithm Case+ source code, a total of 30, to meet the demand for them to learn and exchange)