gui-filter

说明：  此资料实现了ADABOOST和HAAR的特征提取和从弱分类到强分类的具体步骤(The data achieved ADABOOST and HAAR of feature extraction and classification from weak to strong category specific steps)

2*2 mimo-ofdm系统的误码率测量。经过时不变信道(ber of 2*2 mimo-ofdm)

瑞利衰退通道模型，以matlab寫成。這是我用網路上可找到的資源，加以修改，使其更能適應各種不同狀況的模型。(Rayleigh fading channel using Dent model, and my own improvement.)

说明：  遗传算法工具箱，很实用的！请大家下载。一定感到很好！！！！(GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc. 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. )

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

合成孔径雷达点目标仿真 大家可以参考一下(synthetic aperture radar target simulation point we can take a look)

本代码是ADC有效位测试的三参数经典算法的MATLAB文件，仅供参考。(the code is for enob of ADC using classical 3-parameter testing method.)

this is IMM tech. in tracking targets

异步电动机反接制动，与陈伯时电机拖动课程内容相似(Asynchronous motor reverse braking Emulator)

this matlab program calculate the return of the DES(cryptage).