function

GPS 动态卡尔曼滤波 ，详细介绍了GPS动态定位中卡尔曼滤波的应用以及整个公式推导过程(GPS dynamic Kalman filter, described in detail the dynamic positioning GPS Kalman filter applications, and the formula derivation)

说明：  实现小波数字水印，比较简单 采用量化数组嵌入(The realization of wavelet digital watermarking, is relatively simple to quantify the use of embedded array)

说明：  适用于无人机载的FMCW波点目标成像，刚编制成功，希望大家指正。(FMCW sar)

说明：  防碰撞时隙ALOHA的matlab仿真算法(The matlab slot ALOHA anti-collision simulation algorithm)

svd和nmf的对比，在时间和效果对比，各个算法的特点(svd VS nmf)

SOR迭代法求解线性方程组，输出结果和迭代次数。(SOR iterative method for solving linear equations, the output and the number of iterations.)

异步电机带转矩内环的转速磁链闭环矢量控制(With a torque loop, speed and flux loop induction motor vector control)

matlab PID simple s model pid最简单的S模型，可以自己加入扫频信号，就可以看开环伯德图了(matlab PID simple s model)

实现维纳滤波器的设计，进过实践完全可行，请放心下载(Achieve Wiener filter design, into the practice entirely feasible, please rest assured download)

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.