math_exp

计算流水车间的工件距离，以便于下面计算工件的调度

卫星电视接收 dm500 源码，dm500 dm500(Satellite TV receiver dm500 source, dm500 dm500)

RANSAC image registration software

code source on matlab for som

拟合圆，具体的参考文献为“ G. Taubin, "Estimation Of Planar Curves, Surfaces And Nonplanar Space Curves Defined By Implicit Equations, With Applications To Edge And Range Image Segmentation",IEEE Trans. PAMI, Vol. 13, pages 1115-1138, (1991)”(Fitting circle, the specific references to G. Taubin， Estimation Of Planar Curves of the Surfaces And Nonplanar SPACE Curves the Defined BY Implicit Equations, with Applications, the To the Edge And the Range Image Segmentation, IEEE Trans PAMI, Vol 13, pages 1115-1138, (1991) )

this file contains simulink model of 14 IEEE bus sytem for power transmission

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)

非下采样剪切波变换,常用于图像处理领域，可以用于图像融合、目标检测、去噪。(Non-subsampled shearlet transform)

密码锁功能，实现报警功能、密码设定、保存密码、开锁设定(shixianmimasuo gongnengbaojing)

在matlab实现多元高次多项式的求解，可以改进给定解的精度。(snepsolver)