UraPIV

去隔行处理的matlab源程序，值得参考(Deinterlacing matlab source of treatment, it is also useful)

Bit Error rate Simulation

介绍如何在Matlab中求解方程与函数极值，个人感觉讲的不错(how to solve equations and poles in matlab)

suntton强化学习第三章代码 (The Reinforcement Learning Problem)(The Reinforcement Learning Problem)

智能天线Matlab版的全部源代码，大家可以进行参考,以便更好的学习和互相交流。(Smart Antenna Matlab version of the full source code, we can refer to, in order to better learn and interact with each other.)

QR分解的编码，可以直观的看到编码的过程(base on OR)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

基于matlab的源程序，用于绘制Rosslor方程的相图以及庞加莱截面(Based on matlab source program，used to draw phase diagram, poincare section of Rosslor equation )

MATLAB可变电源，变压变频电源,该程序以S函数的形式产生一个可控三相交流电源(The MATLAB variable power supply, variable voltage variable frequency power supply)

电机控制系统，02年开始积累，效果好，速度快，PI控制，经典控制，fuzzy PID，自适应控制，速度位置控制等等，欢迎大家参考。(Servo motor control system, in 2002 began to accumulate, effective, fast, PI control, classical control, fuzzy PID, adaptive control, speed position control, etc., we welcome the reference.)