matlab-classic-tinycases

说明：  Matlab学习宝典 插值与拟合 Matlab学习宝典(Learning Matlab Interpolation and Fitting Matlab Baodian learning Baodian)

用stateflow做的整流例子，仿真通过。(Rectifier with stateflow examples do)

两种驾驶员模型进行对比分析，最终验证本驾驶员模型的优势(Comparing the two pilot model, finally verify the driver model)

说明：  MATLAB函数及命令全集-(按字母排序)(MATLAB functions and commands Collection- (in alphabetical order))

说明：  采用gardner法，实现定时定时同步，做这个已经有一段时间了(By gardner method, to achieve timing synchronization time, to do this has been for some time)

DSL物理层仿真系统 matlab代码，包含了DSL系统物理层的基本模块(DSL physical layer simulation system matlab code, contains the basic module system physical layer DSL)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

在一张有圆形的图片中利用matlab软件采用hough变换检测圆形，(In a picture using a round using hough transform matlab software testing round,)

Initialiser un suivi de porte pour chaque nouvelle porte détectée

segmentation algorithm