Courceproject1

生成斜齿轮、用matlab编程、然后生成节点单元的编号(see the chinese)

这个是关于在运行MATLAB gui过程当中会遇到的一些问题，以及她的一些解决方案(This is about the process of running the MATLAB gui some of the problems encountered, and some of her solutions)

这是一个Matlab图形绘制程序，包括了大量MATLAB图形绘制操作，各种基于MATLAB的图形绘制(This is a Matlab graphics rendering process, including a large number of MATLAB graphics rendering operation, all based on MATLAB graphics rendering)

说明：  列文伯格—马奎特算法的matlab实现程序(The Matlab program of the Levenberg-Marquardt algorithm)

对文档进行二进制处理的几种方法进行比较，分析和评估，得出一定的规律。(Several binary document comparison, analysis and assessment, and to come to a certain law.)

analysis of dynamic of power system

在宽带雷达系统检测中-基于最佳匹配滤波的回波检测实现程序(Broadband Radar best matched filter detection)

an exam in image processing in french 2013

基于无迹卡尔曼滤波的人工神经网络matlab程序(Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function.)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)