memd

凯斯西储大学滚珠轴承数据集14mil - 数据预处理(0HP)。(Case Western Reserve University Ball-bearing data set 14mil - data pre-processing(0HP).)

学习液晶非常好的书，里面从原理到应用都有非常详细的介绍-LCD very good study, from the inside of the application of the principle, there are very detailed account of the

教你如何读写TIFF格式的图像，是自己写的，很值得一看哦(Read Tiff Image)

研究多智能体的一致性问题，控制协议带有时滞(Multiagent consistency)

说明：  Free fish crawler software, crawl free fish products

说明：  用java编写的网络聊天室代码，可以实现私聊，群聊等功能(The network chat room code written in Java can realize private chat, group chat and other functions)

说明：  粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是由J. Kennedy和R. C. Eberhart等开发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(Particle Swarm Optimization (PSO), also known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

完成双正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和理论曲线进行比较。-Complete pairs of orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and the theoretical curves for comparison.

Sliding mode approach for blade pitch angle control wind turbine using PMSG under DTC

说明：  鉴于stm32在keil平台上的SPI通信实验(spi communications experiment)