[Android游戏源码]-人机对战五子棋代源码

采用ansys的位移法和生死单元两种方法实现的车桥耦合程序(The axle coupling procedure using ansys displacement method and life and death are two ways to achieve unit)

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)

机器人导论第三章部分程序功能大论文。很简单(Digital image processing test)

MYO肌电臂环的sdk开发环境及代码资料等(MYO EMG arm SDK development environment and code data, etc.)

说明：  仿滴滴预约打车IOS风格时间选择器(PC请切换到移动端模式打开) * [datePicker plugin] * IOS风格日期选择器,仿滴滴打车预约用车时间选择器 * @Author jawil * @date 2017-02-17 * @param {[object]} options [配置参数](Imitation drop didi IOS style time selector(PC please switch to mobile mode to open))

说明：  本程序采用Dynamic LS-CMA(动态最小二乘恒模)算法在不同信噪比条件下的，用于自适应波束形成时的波束方向图(In this program, dynamic LS-CMA (dynamic least square constant modulus) algorithm is used for beam pattern of adaptive beamforming under different SNR conditions)

这是NI的LabWindows/CVI虚拟仪器的开发实例，是学习LabWindows/CVI的好帮手(This is the NI LabWindows/CVI development instance of the virtual instrument, is learning LabWindows/CVI is a good helper)

Performance of Non-orthogonal Access with SIC in Cellular downlink using proportional fair-based resource allocation

对STK的基本模块以及每个模块的功能及使用方法进行了说明(The basic modules of STK and the function and use of each module are described)

主要包括盲信号的检测程序，还包含实验报告和结果(It is mainly used to denoise seismic signals and data, construct seismic data and then denoise the contrast results.)