matlab-draw-curve

统计负数个数以及找出真值数最大与最小的数字输出(Statistical negative number and find out the true value of the maximum and minimum number of digital output)

一本很好的学习MATLAB的参考书,供初学者利用.(A good learning MATLAB reference books for beginners to use.)

图像域上的DFS遍历，函数返回连通域数量，范围端点以及最大值(DFS traversal on the image domain, the function returns the number of connected domains, the scope of the endpoint as well as the maximum value)

给定一批的样本，当然这些样本间必须相互独立。如果Q > chi2(p, nu)，假设拒绝，否则通过。 ARGUMENTS: x Absolut numbers. p The prob ability value, calculated from Q. Q The resulting Q-value.(A given batch of samples, of course, among these samples must be independent of each other. If Q> chi2 (p, nu), the assumption that refuse, or else through. ARGUMENTS: x Absolut numbers. P The prob ability value, calculated from Q. Q The resulting Q-value.)

说明：  基于MATLAB的OFDM系统仿真分析 pdf格式，不错(MATLAB-based simulation analysis of the OFDM system pdf format, good)

SIR Matlab 模型(SIR Matlab model)

[mimi,i]=min(abs(imag(disp1)-imag(disp2))) legend( LHS of dispersion relation , RHS of dispersion equation ) xlabel( u,cl ) figure(1) clc uppercuts = input( Enter number of intersection points desired: ) [g,h] = ginput(uppercuts) w = sqrt(V.^2-u.^2) s = sprintf( Constants: ) disp(s) for p = 1:uppercuts s = sprintf( u( d d) = 0.10f ,L-1,p,u(p)) disp(s) s = sprintf( w( d d) = 0.10f ,L-1,p,w(p)) disp(s)

介绍用matlab进行有限元计算的国外经典著作，前面重点介绍了有限元的相关内容，后面重点讲解了如何利用matlab的工具箱实现有限元的计算。(This book gives a background treatment of the Galerkin method in Chaps. 2–4. Topics such as developing weak formulations as prelude to solving the finite element equation, interpolation functions, derivation of elemental equations, assembly and sample solutions were treated in these chapters. Chapter 5 gives an overview on the use of the pdetoolbox. Chapter 6 and 7 give different sample problems and their solutions on heat transfer and elasticity in Materials Engineering.)

利用有利多项式的时域方法进行信号处理,对土木、机械、通信的同学有用(signal processing)

This is firefly algorithm which is implemented in matlab. The algorithm is well-known, and apply in many optimal areas and outperform GA and PSO