Gauss_noise_generation

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

matlab最优化问题整理，对matlab常用的一些最优化函数做了介绍(matlab optimization problem finishing, some of the most commonly used on the matlab optimization function, made an introductory)

基于拉格朗日插值法的可变分数延时滤波器比较图，通过比较不同的分数时延时的滤波器特性来观察分数延时滤波器的性质与限制(Lagrange interpolation method based on variable fractional delay filter comparison chart, filter characteristics by comparing the scores of different delay time to observe nature and limitations of fractional delay filter)

分数阶微积分：oustaloup近似滤波器生成方法，和纯分数阶微分方程解法(fractional calculus: Oustaloup approximation filter generation method, and the solver of pure fractional differential equation)

a matlab program that deals with k-means algorithm to cluster the data points and build codebook.

说明：  图像分割是一种重要的和关键的图像分析技术，其目的是把图像分成各具特性的区域并提取出感兴趣的部分，图像分割的结果是图像特征提取和识别等图像理解的基础。对它的研究一直是图像技术研究中的热点和焦点，提出了数以千计的不同算法，虽然这些算法大都在不同程度上取得了一定的成功，但是图像分割问题还远远没有解决，这方面的研究仍然面临很多挑战。(Image segmentation is an important and critical image analysis, the purpose is to image into regions with different characteristics and extract the interesting part, the result of image segmentation is the image feature extraction and recognition based on image understanding. Study it has been a hot spot imaging technology research and focus, made thousands of different algorithms, although most of these methods to varying degrees, achieved some success, but the image segmentation problem is far from resolved, it of research still faces many challenges.)

说明：  全有全无配流法，用于交通分配之用，为交通分配的最为基础的分配方法(All have nothing assignment method, used for traffic assignment, traffic distribution for the allocation of the most basic)

Maximizing the Lifetime of Multi-Chain PEGASIS Using Sink Mobility

plot smith chart. and by a click parameter is determined.

数学建模培训的Matlab教程，适合每年参加数学建模的学生使用，内容很全面！(Matlab mathematical modeling training course for students who participate in the annual use of mathematical modeling, the content is very comprehensive!)