FIR

简易的滤波器，毕业设计用的。希望对大家有用(Filter for matlab.very easy to learn )

本文用龙格库塔法求解了不拉休斯解。龙格库塔法是求解高阶微分方程的有力工具，本文对龙格库塔方法作了简要介绍，并附上了matlab源程序。(in this paper a runge_kutta method was used to slove the blasius equation in the environment of matlab.)

A Genetic Algorithm-Based Feature Selection on binary image

包括：隐藏混沌序列即隐藏参数的生成；对图像进行隐藏；恢复出隐藏前置乱的目标图像；恢复出原目标图像；对隐藏目标置乱处理等(Include: hidden chaotic sequence that is hidden parameter generation images hidden the restoration of a hidden goal of arbitrary pre-image the restoration of the original target image to hide the goal of treatment, such as scrambling)

利用matlab编程，从现有5种补货策略选取最优的策略，并对策略进一步优化。文件中包含问题的描述及优化过程。(The use of matlab programming, from the existing five kinds of replenishment strategy for selecting the optimal strategy, and strategy was further optimized. File contains a description of the problem and the optimization process.)

结构分析的有限元法与MATLAB程序设计，讲述了结构有限元分析的原理，以及编程设计方法(FEM structural analysis and design of the MATLAB program, about the principles of finite element analysis, design and programming)

层次分析（AHP）/网络分析（ANP)Analytic Hierarchy Process是一种十分实用的决策方法。 是对一些较为复杂、较为模糊的问题作出决策的简易方法，它特别适用于那些难于完全定量分析的问题 num:包括目标层和方案层的总层数 g:行向量（各层准则数量，包括目标层（第一层）和方案层（最后一层））。 w：返回值w是最后决策的方案层的权重，根据输出选择最佳方案 在输入矩阵时请加‘[]’号，否则会出现语法错误。 调运方式：w=hierarchy(num,g)( Analytical Hierarchy (AHP)/Network Analysis (ANP) Analytic Hierarchy Process is a very practical approach to decision making. Is the easy way of making some of the more complex, more ambiguous issues make it particularly difficult for those who complete quantitative analysis of the problem num: The total number of layers including the target layer and the solution layer g: row vector (layers Guidelines number, including the target layer (first layer) and program level (the last level)). W: w The return value is the right solution layer of the final decision of the heavy, choose the best option based on the output when the input matrix please add ' []' No, there would be a syntax error. Transporting way: w = hierarchy (num, g))

说明：  基于c语言的再matlab上对spwm进行编程的程序源码 m文件 三相(Matlab c language based on the re-programming of the program source code spwm file-phase m)

数据降维算法 K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。(Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT).)

采用高斯核的多类分类,以wine数据位例，进行编程(the classification using gauss kernal)