sanseng

说明：  dsp programming and shematic fpga programming

Matlab公司推出的marine virtual reality toolbox，利用VRML脚本语言将船舶航行状态虚拟可视化(Matlab has introduced a marine virtual reality toolbox, using VRML scripting language to the state of virtual visual navigation)

Rayleigh衰落信道仿真 多径与单径，多普勒平移(Rayleigh fading channel model and simulation:Rayleigh_Doppler_singlePath, Rayleigh_Doppler_multiPath)

说明：  精通MATLAB这本书的word般，该版只能用于学习，不能做为商业用途(Be well up in the word of book of MATLAB ,It s only for studying,cann t be for the business.)

用到了几种vs中的几种导航列表，实现主页与子页面的转换(Used in several vs several navigation list, to achieve sub-pages home page and conversion)

这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明(This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations)

这个是用小数据量法计算时间序列最大lyapunov指数的matlab程序(This is a small amount of data calculated time series index of the largest lyapunov Matlab procedures)

数值分析中基于Matlab环境下的Gauss全主元消去法的源代码(Numerical analysis in Matlab environment based on principal component elimination method Gauss full source code)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

simple electrical engineering programs for matlab