C_CMethod

it is a spectrum analysis code

说明：  matlab BP算法例程（神经网络） 独自首创BP_Matlab.rar(Matlab routines (neural networks) alone in first BP_Matlab.rar)

利用二元域的高斯消元法得到输入矩阵H对应的生成矩阵G，同时返回与G满足mod(G*P ,2)=0的矩阵P，其中P 表示P的转置 使用方法：[P，G]=Gaussian(H,x)，x=1 or 2,1表示G的左边为单位阵(binary domain PGE law input matrix corresponding to the formation of H matrix G, Meanwhile the return of mod meet with the G (G* P, 2) = 0 matrix P, which said P P switch home use : [P, G] = Gaussian (H, x), x = 1 or 2,1 G said the left side of the RUF unit)

多址接入协议仿真——都可以运行仿真出图！(Multiple access protocol simulation)

matlab simulink model of an uninterrupted power supply

说明：  voiceprint声纹识别算法的实现MSR(speaker varification by I-Vector,)

K-means++算法实现，加强了初始聚类点的选取（careful seeding）(K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding))

该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。(The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understand computer vision methods. Thus, some methods were re-implemented, even if matlab has the methods originally, when their source codes are not available. For example, kmeans algorithm was re-implemented. Howerver, notice that the built-in functions are faster than functions created in this toolbox because the built-in functions are mostly written in C. )

Simulink通信系统建模一书中的OFDM通信系统仿真MATLAB源程序，包括word文档介绍，是非常好的通信系统仿真的学习参考资料(The book Communication Systems Simulink modeling the OFDM communication system simulation MATLAB source code, including word document describes, is a very good communication system simulation study reference)

线性微分方程边值问题打靶算法Matlab程序，注意该算法只能完成二阶常微分方程双边值问题求解，至于其他形式的边值问题必须先转换到二阶形式(Linear Differential Equations with Boundary Value Shooting Algorithm Matlab program, note that the algorithm can only complete the second-order ordinary differential equation boundary value problem must first be converted to the second-order form of As for other forms of boundary value problems)