LDPC-code-construction

自己写的用Matlab模拟一个缓冲区大小（包括正在服务的那个）为10的随机排队系统。 （1）到达过程是的泊松过程（到达速率为Mu），服务时间服从独立指数分布（均值为1/Lamda）。 对Mu//Lamda=0.2，Mu//Lamda=0.8和Mu//Lamda=1.1三种情况进行仿真，求出队列中接受服务用户为n的概率P(n), n=0,...,10。并与理论结果进行比较。 （2）假设到达过程为均匀过程（到达速率为Mu），服务时间服从独立瑞利分布（均值为1/Lamda）。(yourself writing a simulation using Matlab buffer size (including services that are) for the following 10 Machine queuing system. (1) arrival process is the Poisson process (arrival rate of Mu), submit to independent service index distribution (mean of 1/Lamda). Right Mu// Lamda = 0.2, Mu// Lamda = 0.8 and the Mu// = 1.1 Lamda three of the simulation, Queue calculated users receive services n the probability P (n), n = 0 ,..., 10. And with the theoretical results. (2) It is assumed that the arrival process for the uniform process (arrival rate of Mu), submit to independent service Rayleigh distribution (mean of 1/Lamda).)

均匀线列阵波束形成，采用常规加权方式的波束形成。(ULA beamform)

实现Multiple Kernels for Image Classification的算法(Realization of Multiple Kernels for Image Classification Algorithm)

TDOA/AOA定位的扩展卡尔曼滤波定位算法Matlab源码(TDOA/AOA positioning of the extended Kalman filter localization algorithm Matlab source code)

Commande vectorielle d 1 MADA double alimentaion

Ecg classfication using mat file format

说明：  永磁同步电机(PMSM)的矢量控制仿真模型，速度环采用滑模变结构控制，仿真波形较好。(The vector control simulation model of permanent magnet synchronous motor (PMSM) adopts sliding mode variable structure control in speed loop, and the simulation waveform is good.)

This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifiers

说明：  IIR滤波器设计的一些例子，初学滤波器设计的可以做个参考。 (IIR Filter example)

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 only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.