gauseidel

kohonen网络的聚类算法,网络入侵聚类,matlab的经典算法( kohonen网络的聚类算法,网络入侵聚类,matlab的经典算法 Clustering algorithm of Kohonen network, the network intrusion clustering, matlab algorithm )

the optimisation toolbox james lesage toolboxes

SURF Features A frequent approach to feature extraction from images is SURF (Speeded Up Robust Features) Codebook You can use the function create_codebook.m to create a codebook with k-means Histograms Write a function that creates histograms of single images by assigning the image features to clusters from the codebook and counting their frequency Object recognition Choose two distinct subsets from the images. Create a codebook from one set

包括针对调制识别的ASK,PSK,FSK,16QAM,以及hilbert变换的matlab源代码，注意是针对调制识别的(Including modulation recognition for ASK, PSK, FSK, 16QAM, and hilbert transform matlab source code, attention is directed modulation recognition)

说明：  可以进行粒子群优化算法的初步计算。MATLAB计算简便，快捷(Particle Swarm Optimization can be carried out a preliminary calculation algorithm. MATLAB calculation is simple, fast)

一篇很好的基于特征点的图像配准算法研究论文，很有参考意义！(A good feature points based image registration algorithm research papers, meaning a good reference!)

潮流程序，多初学入门者很好使，，分了多个模块，每个模块均有说明 (Trend of the program, more than the novice beginners to very good make, and divided into multiple modules, each module has a description of)

Sugeno控制仿真模型源程序，该程序对Sugeno模糊控制进行的仿真，其中包含基本的源程序，便于学习(Sugeno control simulation model of the source, the program on Sugeno fuzzy control simulation, which contains the basic source code, easy to learn)

RS纠错编码原理及其实现方法[第三版] 鉴于很多读者来信，特别是初学者对于如何求得RS生成多项式g[x]不是甚理解，特给出计算g[x]的MATLAB程序。(RS error-correcting coding theory and implementation methods [third edition] in view of a lot of letters from readers, especially for beginners on how to get RS to generate polynomial g [x] is not even understanding, give special calculation of g [x] in MATLAB procedures.)

用matlab*.m编程实现基本的混沌算法，可以在此基础上扩展应用，实现更加优化的混沌搜索算法(Programming with matlab*. m basic chaos algorithm, can extend this basis the application of chaos to achieve a more optimal search algorithm)