SOVA

求连接矩阵各节点的度，度分布，以及有向加权网络的中介中心性(Demand given a network connection to the matrix of weighted out-degree of each node)

对固定结构的网络结构进行线路损耗的计算。简单方便(The line loss of fixed structure network is calculated. Simple and convenient)

Support Vector Machines solution

实现重力反演，提供实例，建立模型正演，然后进行反演(Realize the gravity inversion, provide examples, modeling forward and inversion)

C语言与MATLAB接口编程与实例，一本很好的编程指导书！(C programming language and MATLAB interfaces and examples)

说明：  基于免疫算法的认知无线电资源分配研究，本科毕业设计，附带毕业论文，论文里对程序有详细的说明，直接运行即可，可以参考。(Research on cognitive radio resource allocation based on immune algorithm, undergraduate graduation design, with graduation thesis, the program has a detailed description of the program, can be directly run, you can refer to.)

bch编译码仿真程序。信息符号15bits，码字符号11bits。(bch decoding simulation program. Information symbols 15bits, code word symbols 11bits.)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

harris特征点检测的matlab实现(harris feature point detection in matlab implementation)

说明：  这是图像解密的源代码。可以下载分享，加密源代码，上次已经上传(This is the source code to decrypt the image. Download share, encryption source code, the last has been uploaded)