MC

用matlab进行概率密度函数的非参数估计，主要有parzen窗法和kn近邻法。分别对平均分布和正态分布进行了仿真。(Non-parametric estimation of the probability density function using matlab, main the parzen window method and kn nearest neighbor method. The average distribution and normal distribution were simulated.)

本程序的功能是实现人为框定目标后，对目标进行灰度边缘的提取和标记。(gray scale image,edge detected.)

Hungrian method for assignment

进一步采用基于距离和曲线形态的双尺度相似性度量谱聚类算法进行聚类处理，通过求n 个二次规划问题，就可以求得相似度矩阵W，降低了谱聚类算法对参数的敏感性，使算法更稳定(Furthermore, we use the two-scale similarity measure spectrum clustering algorithm based on distance and curve shape to carry out clustering. By finding n quadratic programming problems, we can obtain the similarity matrix W and reduce the sensitivity of the spectral clustering algorithm to the parameters Sex, make the algorithm more stable)

The WSN clustering based upon fuzzy logic has been discussed, which elaborates the step wise clustering on the different distances. One directional clustering has been represented. The fuzzy clustering has been represented the right to left connection establishment. The energy consumption has been monitored over the given simulation.

该文件是一个盲均衡算法程序，把输入信号矩阵做了一次解相关处理(The file is a blind equalization algorithm, the input signal correlation matrix made ​ ​ a deal with the solution)

说明：  实现了免疫算法求解约束优化问题的实例。实验表明，算法具有良好的性能。(The method is the implementation of Immune Algorithm(GA). The experiment results show that the efficiency of the algorithm is better.)

Program to implement Bellman Ford Algorithm

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, and realizing PCA SVM compressed image, MATLAB language)

自再现模形成的模拟程序，可以通过改变迭代次数观察自再现模的形成过程(The formation of self-reproduction mode simulation program can be observed by changing the number of iterations the formation of self-reproduction model)