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病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )

filename: rayleigh_fading.m function: rayleigh fading input parameters: multipath_ID (user, multipath) output parameters: envelope read files: no generate files: no call functions: no called by: wireless_UL, wireless_DL Execution Time: case 1: 29/100 Seconds(100 times called)(N=25) case 2: 4.4/100 Seconds(100 times called)(N=25) Sun Jianxun, Apr., 02, 2001

simulink搭建的无刷双馈电机控制的矢量控制(Brushless doubly-fed machine control)

EM算法，基于期望最大化原则进行密度估计(EM algorithm, based on the expectation maximization of the principle of density estimation)

说明：  Transformacion a dbs

this source code is chp6ex14 matlab

用于移动通信系统的防真,用MATLAB实现.里面包含了MATLAB通信系统中常用的命令集.(Mobile communication system for anti-truth, the realization of using MATLAB. Which contains the MATLAB communication systems commonly used command sets.)

The program computes and plots the equation of time, the declination, and an analemma curve for various orbital parameters. The analemma is the curve traced by the position of the sun, measured at clock noon, over a year.

matlab 匹配追踪算法,garbor原子的，非常好用(matlab matching pursuit)

光学双稳特性曲线 调制作用:It=Ii*T(phi) 反馈作用:phi=phi_0+K*It 得透射率T(phi)与相移phi的反馈关系是 T(phi)=[phi-phi_0]/[K*Ii] 式中phi_0为初始相移 对于多干涉(F-P干涉)有: T(phi)=1/[1+F*(sin(phi/2))^2](Optical bistable characteristic curve modulation role: It = Ii* T (phi) feedback: phi = phi_0+ K* It may transmittance T (phi) and phase-shifting relationship between phi feedback T (phi) = [phi-phi_0 ]/[K* Ii] where phi_0 for the initial phase shift for the multi-interference (FP interference) are: T (phi) = 1/[1+ F* (sin (phi/2)) ^ 2])