power

數學function的用法 這個使用的方法對於數學界很重要 提供function使得 很多人不用在自己寫的很痛苦(ceiling method)

文件包含fast角点检测的matlab,c,以及opencv实现，还包含有参考文献说明等。(The file contains the fast corner detection, Matlab，c, and opencv realized, also contains references descriptions.)

运用matlab仿真随机共振 。哪有那么多的说明(failed to translate)

计算三层框架的损伤前后响应的对比，对于结构健康监测比较实用(Three frames before and after damage calculation response contrast, more practical for structural health monitoring)

阵列天线的DOA估计MUSIIC算法，只有几行简单易懂的代码 (The array antenna DOA estimation MUSIIC algorithm, and only a few lines of easy-to-understand code)

MATLAB在语音信号分析和合成中的应用第九章程序(MATLAB in speech signal analysis and synthesis applications MATLAB program book Chapter 9)

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.)

Simple visual basic calculator with installer

这是一本关于Windows下内存映射文件相关内容的书籍， 通过它可以操作文件，它的速度是I/O操作的20倍，及其适合大文件的操作(This is a book about Windows memory mapping document of relevant books, through which it can file, its speed is I/O operation20 times, and is suitable for large files )

基于matlab的车牌定位和分割，能够良好的分割和定位汽车车牌(Matlab-based license plate location and segmentation, to a good vehicle license plate segmentation and positioning)