simulink

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)

near field localization

dc dc converter with fuzzy for rectifie and inveter

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复。 波束形成技术的基本思想是：通过将各阵元输出进行加权求和，在一时间内将天线阵列波束“导向”到一个方向上，对期望信号得到最大输出功率的导向位置即给出DOA估计。 虽然阵列天线的方向图是全方向的，但阵列的输出经过加权求和后，却可以被调整到阵列接收的方向增益聚集在一个方向上，相当于形成了一个”波束”。这就是波束形成的物理意义所在。

用于图像分析衡量标准的峰值信噪比，有例子和源代码公式！(the peak signal to noise ratio for the image analysis measurement standard, with examples and source code formula!)

说明：  基于matlab的SEKS-GUI实现时空分析，可以是非线性的和非高斯的(Realizing Spatio-temporal Analysis)

运行环境 TC2.0 w,s,a,d控制方向, 逗号和句号控制力量,空格发杆 本来还可用鼠标控制,因为要用一个"mouse.h",所以去掉了-runtime environment WITH TC 2.0 w, s, a, d to control direction, the comma and full stop controlling forces, space-could have also been made with the mouse control, because we are a "mouse.h", removed the

说明：  高通滤波算法，可以很好的解决需要高通滤波的算法中(High Pass Filtering Algorithms)

可以实时抓取在线行情，入库数据处理；也可以获取单个证券一个时间段内的历史数据，加以处理(grap realtime data stock information, import into the database to deal later)

小例子 小例子 小例子-Small examples of small examples of small examples of small examples