bragg-fiber

PHD谐波分解，大家可以尝试下，希望对大家有所帮助(PHD harmonic decomposition, we can try, we hope to help)

经典和现代到达角估计的方法的一个概览性文档，很有参考价值，英文文献(Classical and modern methods of DOA estimation of an overview of the document, useful and English literature)

the program submitted is a c++ code which calculates the transformation matrix to develop robots movements.

说明：  仍工智能算法基于粒子群算法的优化程序，用与分类等其他他的地方也有其他的作用等着你们下载哦(atrificial nbnbnbnbnbnbnbnbnnbnbnnbnbnnbnbn)

这里给出了一个基本——万能的套用公式，对于所有的需要进行有理式近似的，当然是基于matlab编程实现！(matlab for polynomial translation,here the code can guide to computing lots of news methods for the polynomial approximating!)

Matlab Kalman filter

FDTD方法是把 Maxwell 方程式在时间和空间领域上进行差分化。利用蛙跳式(Leap frog algorithm)--空间领域内的电场和磁场进行交替计算，通过时间领域上更新来模仿电磁场的变化，达到数值计算的目的(FDTD method Maxwell s equations in the field of time and space differencing. Leapfrog (of Leap frog algorithm)- the electric and magnetic fields within the field of space alternating the update time field to mimic the changes in the electromagnetic field to reach the numerical calculation purposes)

非线性分析 hopf分岔 一个典型的非线性hopf分岔编程实例(a Hopf bifurcation chaos in dynamic system)

随机信号的功率谱估计,包括间接法，直接法，weltch法等(Random signal power spectrum estimation)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)