interval-R_R

实现了图像的一些基本运算，包括高低通滤波(Realize the image of some of the basic operation, including high and low pass filter)

Slotted ALOHA anti-collision algorithm

Simulink工具编写代码(S-Function 方式)，产生一单径瑞利信道，其多普勒谱 为经典谱，其中移动速率为 120km/h。(Simulink tools to write code (S-Function mode) to generate a single path Rayleigh channel, the Doppler spectrum For the classical spectrum, where the rate of movement of 120km/h.)

matlab编写的路标识别系统，需要安装matlab才能运行。(matlab prepared signs identification system need to install matlab in order to run.)

The mobile robot has to find the optimal path which reduces the number of steps to be taken between the starting point and the target ending point. GAs can overcome many problems encountered by traditional search techniques such as the gradient based methods. The proposed controlling algorithm allows four-neighbor movements, so that path-planning can adapt with complicated search spaces with

matlab下meanshift目标跟踪方法(meanshift object tracking)

说明：  基于电力系统场景集，采用智能算法对电力系统多场景可靠性进行分析(Based on the scene set of power system, intelligent algorithm is used to analyze the multi scene reliability of power system)

说明：  包括直接序列扩频CDMA的调制和解调函数(Including direct sequence spread spectrum CDMA modulation and demodulation function)

matlab数值计算，入门基础，绝对好用(matlab numerical calculation, entry-foundation, absolutely easy to use)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。 BP（Back Propagation）神经网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hidden layer)和输出层(output layer)。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm. BP (Back Propagation) neural network is a 1986 team of scientists headed by Rumelhart and McC)