Snake--matlab--code.tar

古典密码学中的一些实现加密的算法，用Matlab实现的。(Classical Cryptography to achieve some of the encryption algorithm, using Matlab to achieve.)

Matlab code that has an exercise about signals processing.

说明：  这是一个用FDTD算法计算二维金属方柱散射场RCS的matlab程序.采用UPML吸收边界条件和高斯脉冲源激励,对于学习FDTD方法中的激励源加入,近-远场外推,吸收边界设置等很有帮助 (This is a two-dimensional metal with the FDTD algorithm to calculate the scattering RCS of a square cylinder matlab program. UPML absorbing boundary conditions and using the Gaussian pulse source excitation, FDTD methods for studying excitation source added, near- far field extrapolation, absorbing boundary settings, and helpful)

用各种方法求解初值问题微分方程，并分析误差。(Use various methods to solve the initial value problem of differential equation, and the error analysis.)

this code implement LTE scrambler and LTE descrambler used in the 4G mobiles release 8.parameters of these two blocks are flexible.

matlab开发工具箱中的支持向量机，光纤陀螺输出误差的allan方差分析，雅克比迭代求解线性方程组课设。( matlab development toolbox support vector machine, allan FOG output error variance analysis, Jacobi iteration for solving linear equations class-based.)

说明：  这是用MATLAB写的一个RD算法的程序，不知道有人上传过没有，希望有用(This is used to write a MATLAB algorithm RD procedure, I do not know it was not uploaded, I hope useful)

三相整流，将三相电整流为直流。 电力电子中一种重要的模块。 本方法是采用简单脉冲信号触发(三相整流，将三相电整流为直流)

一些基础的SAR算法——CS算法；RD算法；和一个峰值旁瓣比的程序(Some basic SAR algorithm)

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 )