SORwudian

固体力学的大作业，有限元法计算阶段梁，包括了计算单元应力。(Finite Element Method matlab program, an example of 1D step beam element. Including calculation of elemental stress.)

说明：  用matlab编写的程序用来实现机器人基于两点法的路径规划，算法快速有效。(Programs written with matlab for robot path planning method based on two points, the algorithm quickly and efficiently.)

Seismic Tools for plotting E3D

Implements Long Staff Schwartz methodolgy.

已知系统的差分方程，用matlab实现输出信号的自相关计算并画出图形。(Differential equations known system, the output signal using matlab autocorrelation calculated and drawn graphics.)

essential matlab for engineers and scientists

这是一个图像信噪比计算的小程序，不是峰值信噪比，请注意。(This is a small program SNR calculation, not the peak signal to noise ratio, please note.)

三个程序,分别以四阶龙格库塔法和欧拉法解洛伦兹方程,并绘制相图,时间演化图,庞加莱截面图.(Three procedures, respectively, fourth-order Runge-Kutta method and Euler method for solving the Lorentz equation and draw the phase diagram, the time evolution of the map, Poincare section.)

Commande vectorielle de la MAS

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)