fthe-Fractional-Fourier-Transform

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)

A good book for robotics system development in Matlab.

说明：  各种滤波器包括高斯、维纳、laplace、中值滤波器(Various filters, including Gaussian, Wiener, laplace, median filter)

matlab isodata聚类算法重要函数四个，涵盖了isodata聚类算法的中心内容(clustering algorithm matlab isodata important functions four, covering the central elements isodata clustering algorithm)

chapter 3 of aircraft system identification

power_svpwm_multiPhasesLevel.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm_multiPhasesLevel.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

matlab的常用函数速查，包括了大部分常用函数，用ctrl+f就可以直接查找。(including matlab commonly used functions, including the most commonly used functions, you can search the functions using ctrl+f .)

英文资料。基于位置的机器人视觉伺服综述。可参考。/ (English. Based on the location of Servo Robot Vision Summary. Reference. /)

cheby1 bpf @ wav file

Grossman气动力，可用于获取Volterra级数一阶核的特征系统辨识的输入输出仿真。(Grossman aerodynamics can be used to obtain a first-order Volterra series features core simulation input and output system identification.)