Partial-Differential-equation

MAT-file importer to C++ with and without binds to matread/write library functions

有关继承函数,初学者可以作为非常不错的例子，了解语法结构(inherit )

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)

可以简单的实现快速傅里叶变换，这只是部分的，等开通了账号再把其他的上传上来(Can simply fast Fourier transform)

获取全局唯一标识符GUID值的access事例(Get access cases globally unique identifier GUID value)

matlab有关信号处理的宝典，书的前面讲的是ｍａｔｌａｂ的用法，怎么样，心动了？(signal processing matlab canon that the front of the book about matlab usage, how heart?)

vit程序清晰简单，容易阅读，matlab调用易实现(vit procedures clear and straightforward, easy to read, matlab call easy to realize)

应用MATLAB（或C）语言编写一幅灰度图像直方图统计程序(Application of MATLAB (or C) written in a gray-scale image histogram statistics program)

分数阶傅里叶变换matlab的实现，可以看看的(Fractional Fourier transform matlab realization, you can see the)

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)