All-in-One

matlab 专业设计 源于课本的原文件 适合于编程人员(matlab professional design textbooks from the original document is suitable for programmers)

NNM-i Developer s Toolkit Guide

配合MATLAB摄像机标定工具箱使用的投影仪标定工具箱，对投影仪进行标定，需解压到matlab路径，将采集好的投影棋盘格图像载入即可(With the MATLAB camera calibration toolbox used in the projector calibration toolbox, the projector calibration, the need to extract to the matlab path, will be a good collection of chessboard image can be collected )

牛顿插值发，数值方法计算牛顿插值程序 计算牛顿插值多项式的值(newtoninterpolation)

matlab code for engineer

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(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，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。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

STBCQPSK仿真程序,shihechuxuezhe(simulationprogramforSTBCQPSK)

interruptible load stochastic

压缩感知代码，matlab，cgsolve(Compressed Sensing code Matlab, cgsolve,)

这是用PTS方法抑制OFDM发射端峰均功率比的仿真程序，最后生成CCDF-PAPR曲线表征PTS方法对PAPR统计特性的改进(PTS is used to reduce the emission-OFDM PAPR simulation program, Finally Generation CCDF- PAPR curve characterization PTS PAPR statistical methods to improve the characteristics of)