learn_struct_EM

改进的预测控制，结合了一般的算法，但增加了预测控制对象是否稳定的判断(predictive control)

元胞自动机 微观交通流仿真 N-S模型 交通行为的仿真(Cellular automata microscopic traffic flow simulation the NS model traffic behavior simulation)

菲尔德网络知识，对神经网络只是大大的补充，该算法应用很广。(Rumsfeld network knowledge, the neural network is greatly supplement, the algorithm is widely used.)

输入两个整数，当前一个数不小于后一个数是，输出1和两数之差；当小于时，输出0和第一个数。(Enter two integers, a number not less than a number, output 1 and the difference of two numbers when less than output 0 and the first number.)

matlab贝叶斯工具箱，最新版1.0.7(bayesian toolbox for matlab)

Smart Antenna System souce code (Smart Antenna System souce code)

matlab 有关于面积计算的程序，周长，圆的面积(matlab calculation programs on the area, perimeter, area of ​ ​ a circle)

用振型分解法求解框架结构的地震反应，地震波为EI Centro波(Using modal decomposition method to solve the seismic response of frame structure, seismic waves for EI Centro wave)

利用matlab和ug联合进行齿轮设计，先求解，再建模，思路很新鲜(Ug joint use matlab and gear design, first solved, and then modeling, very fresh ideas)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)