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matabl oc 平面连续体结构拓扑优化(oc)

基于粒子群参数寻优的二阶倒立摆控制matlab程序，改程序可以较好的实现对于自摆等二阶倒立摆的控制(program for second-order inverse pendulum )

word文档内是热传导方程的MATLAB程序代码(word document is the thermal conductivity equation in MATLAB code)

这为一个相控阵列天线的波束形成与指向控制的ＭＡＴＬＡＢ仿真软件(This is a phased array antenna beam forming and pointing control of the MATLAB simulation software)

这个是最小二乘算法的一个重要用途，在实际操作中有广泛的应用，可以处理很多问题！(This is an important use of least squares algorithm, in practice a wide range of applications, can handle a lot of problems!)

适合初学电力系统者，能够求出系统的雅克比矩阵，便于理解课本内容(Suitable for beginners power system, able to calculate the system Jacobian matrix, easy to understand textbook content)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

模式识别课程作业，pca和kpca，以及一个人脸可。其中kpca的核函数是多项式。(Pattern Recognition course assignments, pca and kpca, and a person can face. Where the kernel function is polynomial kpca.)

边缘提取技术边缘是图像对视觉的最主要特征，因此在计算机视觉技术中提出了多种检测边缘的算法。由于各种原因，图像常常受到随机噪声的干扰，经典的边缘检测的结果常常是将噪声误检为边缘点，而真正的边缘由于噪声干扰却可能被漏检。因而对于被噪声污染的图像来说，一种好的边缘检测方法应具有良好的噪声抑制能力，同时又有完备的边缘保持特性。(After analysing the soft threshold funetion,the smoothness threshold function is proposed by modifying the soft threshold function.because this function keeps smooth in the entire value range,some important details in the process of image denoising can be held. Firstly we detect the edge of the noising image. )

MATlab30个案例分析 第11章 流水车间调度的遗传算法MATlab实现(Analysis of MATlab30 cases Chapter 11 Flow Shop Scheduling the genetic algorithm MATlab achieve)