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二维的FDTD,一个连续的脉冲源的传播，边界为PML(Two-dimensional FDTD, a continuous pulse source propagation, the boundary for the PML)

： 针对粒子群优化算法易陷入局部极值的缺点， 提 出一种改进粒子群算法， 该算法借鉴贪婪算法的思想初始化种群， 利用两 个种群同时寻优， 并将遗传算法中交叉和变异操作引入其 中， 实现种群间的信息共享。(I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n i mpr o v e d p a r t i c l e s wa r m o pt i mi z a t i o n a l g o r it h m i s p r o po s e d． Th e a l g o r it hm dr a ws o n t h e t hi n ki ng o f t he g r e e d y a l g o r it hm t o i n i t i a l i z e t he pa r t i c l e s wa l- n 1 ． Two s wa r ms a r e u s e d t o o pt i mi z e s y nc h r o no u s l y， a nd c r o s s o v e r a n d mu t a t i o n o p er a t o r s i n g e n e t i c a lg o r i t h m a r e i n t r o d uc e d i n t o t h e ne w a l g o r it h m t o r e a l i z e t h e s ha r i ng o f i n f o r m a t i o n a mo ng s wa r l T i S ．)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

the matlab file to calculate radar PRF staggering

说明：  常用的DEA交叉模型，是目前广泛使用的效率评价模型之一(DEA crossover model, which is commonly used in DEA crossover model, is one of the most widely used efficiency evaluation models at present.)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

Speech recognition matlab code

plotting voltage standing waves on a transmission line terminated with a complex load ZL

粒子滤波几个历程 里面有英文标注 步骤明确 用于学习使用(Particle filter which has a history of several steps clearly marked in English for learning to use)

这是bpsk的调制程序代码，它基于matlab环境编写，用于验证调制的效果是否达到设计要求。(qpsk)