arnoldi-decomposition

使用模糊控制来实现单级倒立摆的控制仿真。使用了sugeno 模型来完成(The use of fuzzy control to achieve a single-stage inverted pendulum control simulation. Sugeno model used to complete the)

说明：  在本文中，我们描述了一个新颖的无标定主动立体系统，它采用编码加密过的结构光。该方法是基于一个针对消极立体系统的无标定立体技术，在该技术中，一个投影仪代替一台摄像机。它还提出了一个同步三维重建方法，提高准确性和一个简单的方法来消除一个激光指针到投影的缩放模糊性。(In this paper, we describe a novel uncalibrated active stereo system using coded structured light.The proposed method is based on an uncalibrated stereo technique for a passive stereo system in which one of the cameras is replaced with a projector. It also proposes a simultaneous 3D reconstruction method to increase accuracy and a simple method to eliminate the ambiguity of scaling by attaching a laser pointer to the projector.)

Global Posisioning System Applications

buck电路，元器件是IGBT，最简单的实例(buck circuit, components are IGBT, the simplest example of)

matlab的fopen函数用法matlab中fopen函数在指定文件打开的实例(The fopen function matlab matlab use in fopen function to open an instance of the specified file)

基于2FSK算法的调制与解调，在simulink平台的仿真(2FSK modulation and demodulation techniques based algorithm, implemented in the simulation platform simulink)

两个16个阵元的平面阵波束形成。很好用的(16 element array of two plane array beamforming. Very good use)

计算Local outlier factor的matlab实现，附带有例子。(Local outlier factor calculation matlab realize, comes with examples.)

说明：  最新的基于压缩感知的TV重构算法，该算法重构图像质量很不错，并且速度很快(TV Minimization by Augmented Lagrangian and Alternating Direction Algorithms)

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)