DISANZHANG

菲涅尔单缝衍射图像，改变波长对图像的影响(Fresnel single slit diffraction image, the image changes affect wavelength)

本子程序用于计算单个球形粒子米散射参数：吸收、散射、消光效率、不对称因子。 参见尹宏：《大气辐射学基础》P53―59，P92―96，P101―121。( Book program for calculating the single spherical particle scattering parameters meter: absorption, scattering, extinction efficiency and asymmetry factor. See Yin Wang: Fundamentals of Atmospheric Radiation )

这是我师兄做的空间谱估计的内容。这只是一小部分程序，希望大家能够接受，下载吧。(this done I saw the space Spectral Estimation content. This is only a small part of the procedure, hoping that everyone can accept, download it.)

说明：  matlab的svm工具箱,感觉还不错。支持向量机在识别方面很常用的。(matlab svm toolbox~)

说明：  用matlab编写的图片浏览器，GUI界面的。运行文件夹中的.m文件(Prepared using matlab image viewer, GUI interface. Running in the folder. M file)

本程序用通过归一化的方法来实现sobe1算法，是sobel的边缘检测算法的具体实现。(The procedure used by one of the method to implement sobe1 algorithm is sobel the edge of the realization of the detection algorithms. )

多尺度LBP的原代码，用于人脸识别，在orl数据库中的识别率达97 以上。(Multi- scale LBP original code, used in face recognition and the recognition rate of over 97 in orl database.)

(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)

it is a code to process the data of CWB autosite in TAIWAN

MATLAB科学计算与可视化仿真宝典源代码，从第一章到第27章(MATLAB simulation of Scientific Computing and Visualization Collection source code, from the first chapter to Chapter 27)