tezheng

Matlab程序为清华大学胡广书版信号处理的上机习题答案(Matlab procedures for Qinghua University HU-book version of the signal processing on the answer machine Exercises)

数字聚类识别,基于图像模式识别-VC++技术实现书的基础上完成的(Number of cluster identification, image-based pattern recognition technology-VC++ based on the completion of the book)

说明：  pol-sar目标分解H/a算法代码，对于学极化SAR的同学来说，是很好的入门(pol,-the sar goal decomposition of H/a algorithm code, is a good place to start for students who learn polarization SAR )

hi this folder contains five matlab codes for gray level image histogram processing i hope that you will accept me in your site

说明：  同态滤波器，用于增强图像的细节部分，灰度级扩展，边缘细节增强(Homomorphic filter, used to enhance the details of the image, gray-scale expansion, edge detail enhancement)

编写PCA算法的程序，对想要学习如何利用PCA算法进行故障诊断的同学很有帮助！( a PCA algorithm program, for the person who want to learn how to use PCA algorithm for fault diagnosis of classmates the progran is very helpful!)

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

求微分方程通解 给出三元一次微分方程，求其通解的matlab程序(Differential equation is obtained)

详细描述了对模糊控制工具箱的介绍以及如何用matlab的模糊控制工具箱(A detailed description of the introduction of fuzzy control toolbox and how to use fuzzy control toolbox matlab)

adaboost的訓練data的方法，並利用在matlab上幫助使用者可以快速的訓練data。 (adaboost method of training data, and help users to quickly take advantage of training data on matlab.)