ASK-MODULATION.docx

范德波方程的混沌现象的数值模拟及其matlab实现(Fan Debo equations and numerical simulation of chaotic phenomena matlab to achieve)

一篇关于多目标优化的文章，其中的关于多目标的计算值得借鉴(Article on matlab multi-objective optimization article, which is calculated on multi-objective worth learning)

matlab实现模糊C均值算法对样本进行分类。附件中国有样本库。( matlab in fuzzy c means in sorting)

灰色模型GM(1,1)原始数列经过光滑优化(Gray model GM (1,1) with smooth Optimized original series)

混沌的判断指标Lyapunov指数计算的matlab程序。(Chaos Lyapunov index calculation to determine indicators of the matlab program.)

信号处理工具箱matlabGUI界面，可以对常见信号进行处理(signal dipose)

在很多图像处理的过程中，需要判别一个图像的清晰度，和图像分割结果的优劣，于是就引出了信息熵的概念，绝大多数时候，它都被用来作为评价图像的一个量化标准。(In many image processing processes, it is necessary to distinguish the clarity of an image and the result of image segmentation, so the concept of information entropy is introduced. Most of the time, it is used as a quantitative standard to evaluate the image.)

说明：  有限元分析的matlab代码- 结构 本书旨在为读者提供一些有限元的matlab代码。 在简短介绍MATLAB之后，这本书说明了有限元。 用简单的脚本和函数实现一些问题。 .离散系统，如弹簧和杆 .梁和框架在二维和三维中的弯曲 .平面应力问题 .弯曲板 .(MATLAB Codes for Finite Element Analysis- Solids and Structures This book intend to supply readers with some MATLAB codes for finite element analysis of solids and structures. After a short introduction to MATLAB, the book illustrates the finite element implementation of some problems by simple scripts and functions. The following problems are discussed: .Discrete systems, such as springs and bars .Beams and frames in bending in 2D and 3D . Plane stress problems .Plates in bending .)

Filter Design in Matlab

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)