All-in-One

Introduction to Random Signals and Applied Kalman Filtering 书中.M文件(MFILES of Introduction_to_Random_Signals_and_Applied_Kalman_Filtering)

最新的TLSF源码实现，具有很好的实时性(The latest TLSF source codes, with a good real-time )

说明：  二阶倒立摆的simulink模型建模仿真。以及初始化代码(second inverted pendulum the Simulink modeling simulation. And initialization code)

一个matlab的将军模型，互联网上很难查询到，希望对matlab初学者有所帮助(a general Matlab model, the Internet is difficult to find. Matlab hope to help beginners)

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)

无线中继选择 包括AF、DF中继选择算法的对比 以数据吞吐量作为依据(Multiple Relaying in wimax)

对雷达方程的研究，输出功率与测量距离之间的关系(Radar equation, the relationship between the output power and measure the distance)

this is implementation huffman algorithm,you must try code. i think you must try.

simulation of neural network for adaptive control

delphi与matlab混合编程研究 (delphi with matlab Mixed Programming)