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MATLAB7.0的编程指导书，让你轻松掌握matlab(MATLAB7.0 programming guide book, a very good use)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

audio and speech compression,image restoration,ezw tree using trellis codes

LTE链路级仿真源码，非常适合初学者学习、使用(Perfect learning materials suitable for beginners to learn to use)

plugging a dc motor using simulink file

色彩空间转换的matlab代码，实现从RGB空间到LUV的转换(color space conversion Matlab code, from the realization of the luminance RGB space conversion)

matlanb仿真实现下垂控制，能够较好的跟上无功和有功，调节电压与频率(this is a droop controler，use PI control)

六杆机构可以用来做插床和牛头刨床，六杆机构子程序(Six bodies can be used for grooving and Shaper, six institutions subroutine)

LOG spectral distance which is used in mmse

针对常规PID控制不具有自适应能力，对于时变、非线性系统控制效果不佳。提出了将模糊技术与PID控制相结合的控制方式，设计模糊控制器。(Conventional PID control with adaptive capabilities, time-varying, nonlinear system control ineffective. Fuzzy and PID control combined control mode fuzzy controller design.)