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很有用的关于VC和matlab混合编程的例子，值得大家学习(Very useful on the VC and matlab examples of hybrid programming, what is worth learning)

直接扩频捕获Xfast算法仿真(包含可调SNR信息码产生)(dsss acquisition(XFAST))

file dll very important to run the file spike under matlab code.

semivario structure funvtion,there is no need other steps

说明：  matlab高效编程程序源代码第五章，可以运行。(efficient programming source code matlab chapter, you can run.)

Windows密码抓取神器 代码完整 可编译通过 学习用的好代码(Windows password fetching artifact code complete Good code can be compiled by learning )

CEGUI中文显示和输入源代码demo,CEGUI中文显示和输入源代码demo(CEGUI Chinese display and input source code demo, CEGUI Chinese display and input source code demo)

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.)

一个链路计算的程序，很适用，VC调用matlab(A link calculation procedures, it is applicable, VC call matlab)

用matlab实现的视频读取并提取目标背景，对初学者很有用(failed to translate)