Mie

本代码实现了利用matlab仿真产生PAM-DS-UWB发射波形的过程。(The code generated by using matlab simulation launch PAM-DS-UWB waveform process.)

实现门特卡罗算法 解题过程可以归结为三个主要步骤：构造或描述概率过程；实现从已知概率分布抽样；建立各种估计量。 (about monte carlo simulation)

matlab 画图时，用于插入中国地区的地图(insert Chinese map, when using Matlab)

Nyquist Graph Rutine

这是一个关于舍此识别的一个matlab程序，可以识别舍此的位置。(This is a about the recognition of a matlab program that can identify the alternative location.)

一种改进的LSB Steganography 以抵抗“RS分析法”和GPC Steganalysis(LSB Steganography against RS and GPC)

Even though the RAND functions can be useful for generating uniform random numbers, most of the time we will need to model various non-uniform distributions, such as the Normal, Lognormal, Exponential, Gama, and others. In fact, the Uniform distribution arises in a very limited number of applications, so the chances are our worksheet models will rarely deal with this distribution

用路径跟踪法求解不等式约束的凸二次规划，即沿着此路径(或邻域)可以逼近问题的最优解。(With the path tracking method for solving inequality constrained convex quadratic programming, that along this path (or neighborhood) can approximate the optimal solution of the problem.)

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)

最短路算法一例题， (The superior calculate way that incises a square body returns to row with the dynamic state )