esprit

This is about Linear Decrement Analysis. You can use it to classify Brain Computer Interface or BCI. inputs are signals and labels.

关于快速傅里叶FFT变换的一个小程序，很有帮助。(a small program about the FFT transform , very helpful)

说明：  本人收集的一些关于DSP与matlab编程的资料，有用matlab产生DSP代码的实例，希望对大家有很大帮助(I collected some information on DSP and matlab programming information useful matlab generate DSP code examples, I hope everyone has a lot of help)

说明：  基于matlab的GUI界面设计的成绩管理系统，可以直接用！(Based on the matlab GUI interface design of the performance management system )

matlab code for beging cc motor...

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

使用sift算法，可以完成两张图片的拼接(stich two image with sift algorithm)

这是一个基于神经网络RBF的PID控制器，SIMULINK模型加m函数(This is a PID controller based on neural network RBF, SIMULINK model plus m function.)

这是一本很经典的教程！不知道有人传过没有。先传上来，希望有用(This is a very classic tutorial! Some people do not know they could not mass. Chuan-first onto the hope that useful)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)