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说明：  ldpc校验矩阵的代码 基于matlab写的 还请多多指点，新手(ldpc calibration matrix code based on Matlab also invited to write a lot of guidance, and newcomers)

说明：  直接序列扩频通信系统建模与仿真 PN码序列产生代码（matlab)(PN code sequence generated code (matlab))

gps跟踪中的伪码相位，很好用的，可以下载下来(pncode——track)

A Sampling Matlab Code

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

THis code removes the object shadow

基于空间电压矢量的永磁同步电机直接转矩控制的MATLABsimulink，仿真结果良好(Space voltage vector based permanent magnet synchronous motor direct torque control MATLAB simulink, the simulation results good)

principal Component analysis help to change the principal axis

非线性整数规划的遗传算法Matlab程序 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Matlab genetic algorithm of nonlinear integer programming Usually, the nonlinear integer programming is a NP problem, having the index complexity if the constraint is relatively complex, the Matlab optimization toolbox and some optimization software lingo, etc, for example, are often unable to apply, even if that can be also cannot give a more satisfactory solution.This is where the problem for design optimization algorithm.Here for a genetic algorithm is applied to nonlinear integer programming programming examples, for your reference!)

说明：  matlab程序，用于对差分方程进行参数辨识，获得参数数值(Matlab program is used to identify the parameters of the difference equation and obtain the parameter values)