rectan_coaxia

用matlab编了一个damping程序，希望大家有帮助(Matlab made with a damping process, I hope everyone has to help)

说明：  《自动控制原理的matlab实现》附录MATLAB工具箱函数(&quot Matlab achieve automatic control theory,&quot Appendix MATLAB toolbox function)

基于遗传算法和非线性规划的函数寻优算法，用遗传算法和非线性规划的函数寻优算法寻找最优值,其中包括三个线性例子和三个非线性例子。(Based on genetic algorithms and nonlinear programming function optimization algorithm, genetic algorithm and nonlinear programming function optimization algorithm to find the optimal value, which includes three examples and three linear nonlinear examples.)

Use this GUI for fitting 2-port S-parameters using the functions from RF Toolbox

光伏MPPT，该文章里面详细介绍了一种变步长搜索方法。(PV MPPT，Variable-size step)

intersection the polygons. simulation in matlab and show the result in figur. for more information zemmiti@yahoo.fr

利用mathlab进行信息隐藏的源代码文件，包含对信息的隐藏和提取，随机分布存储(The use of information hiding mathlab source code files, including hidden and extraction of information, random distribution of storage)

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks (The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks)

sdemo.m为主文件，界面文件在subf文件夹，snake算法在snke文件夹下，images文件下为测试图片。 此程序以界面的方式展示了Snake算法的分割效果，如果需要做批处理，需要对其改进。(Sdemo. M primarily file, interface file in subf folder, snake algorithm in snke folder, images file for test under the picture. This program to the interface of the way to show the Snake algorithm of segmentation effect, if need to do a batch, needs to be improved.)

Monte Carlo Markov Chain (MCMC)