Applied.Quantum.Mechanics

说明：  分数傅里叶变换以及计算全息图的迂回编码实现，以及衍射的仿真和所需的计算机生成图形。对信息光学的研究人员有用处。(Fractional Fourier Transform and circuitous CGH Coding and diffraction simulation and the required computer-generated graphics. Optics researchers in information useful.)

PSO算法的实现。寻找搜寻范围内的最优解。(PSO algorithm. Search within to find the optimal solution.)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

基于matlab编写的蜗杆齿面仿真源代码，希望对大家有用(Matlab prepared based on the worm tooth surface simulation source code, everyone would like to be useful)

说明：  ：图像增强是图像处理的一个重要分支，是图像边缘提取、图像分割等的基础．文章介绍了常用的图像增强技 术，并且以Madab为工具完成图像的直方图均衡化、巴特沃斯高通滤波器操作的示例，给出了处理前后的对照图像．重点介 绍了利用小波变换进行图像增强，获得了比较好的增强效果．(: Image enhancement is an important branch of image processing is the image edge extraction, image segmentation, etc. basis. This paper introduces the commonly used image enhancement technology, and to Madab as a tool to complete the image histogram equalization, Butterworth high-pass filter operation of an example is given before and after contrast images. Focuses on image enhancement using wavelet transform to obtain a relatively good enhancement.)

说明：  sa运行成功，大家分享一下，输就据最好不超过20个(sa run successfully, share with you, lost on no more than 20, according to the best)

matlab仿真 双音频拨号信号频谱分析，详细的程序和讲解，WORD版本，考下来就可以用，用过了没有问题(matlab simulation-tone dial signal spectrum analysis, detailed procedures and explain, WORD version of the test can be used down, used with no problem)

matlab算法，用bp网络进行训练，然后进行分类的一种算法，很成功(matlab algorithm, using bp network training, followed by a classification algorithm, very successful)

多事例维度约简的matlab程序及其数据。(Many examples of dimension reduction matlab program and its data.)

ahp算法源程序，希望大家一起交流共同进取拉拉阿拉(the program of AHP)