CE803-Matlab-Tutorials

说明：  偏微分方程在图像处理中的应用代码,有图片及大量代码。(This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. The threshold values are chosen automatically. Then the boundaries for each level set are extracted, the image data on the boundaries are recorded. Finally, by using AMLE, extend those imformation to reconstract a new image, which will approximate the original one quitr well.)

signal processing using matlab (example)

Hankel法的过程辨识，利于用脉冲传递响应对系统的辨识，实例全过程。(Hankel identification process of law, in favor of using pulse delivery system to respond to the identification, examples of the entire process.)

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点convex optimization algorithm with high complexity(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)

本软件是我公司开发的具有实际用途即核磁共振含油率测试分析的源代码。(The software is developed with the actual use of the rate of oil that NMR analysis of the test source code.)

Matlab7.0基础教程，适合新手的参考资料。(MATLAB7.0 course book)

多层次合作型协同演化算法，自适应分组规模的方法首次在CC中被应用(Multi-level cooperative co-evolutionary algorithms, adaptive packet size approach was first applied in the CC)

find the controller of the nominal plant

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)

说明：  该文件包含了蚁群算法的MATLAB程序。以及如何用它解决TSP问题(This file contains the ant colony algorithm MATLAB. And how to use it to solve the TSP problem)