Kalman

说明：  基于FCM的数据聚类分析及Matlab 实现 戈国华, 肖海波, 张敏 ( 江西理工大学信息工程学院江西赣州341000 ) 【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演 示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。(FCM clustering analysis based on the data and Matlab implementation Ge Guohua, Xiao Haibo, Zhang Min (Institute of Information Engineering, Jiangxi University of Ganzhou, Jiangxi 341000, China) Abstract: Clustering is commonly used in data mining, data analysis techniques. This paper describes the FCM clustering algorithm theory and implementation steps. And demonstrates the use of Matlab for data clustering FCM. The results show that the FCM algorithm is an efficient data clustering algorithm, a very wide range of applications.)

说明：  径向基函数（RBF）神经网络算法，使用matlab来实现辛烷值预测(Prediction of octane number with MATLAB)

Prime算法Matlab源代码 Prime算法Matlab源代码 Prime算法Matlab源代码(impletmentation of Prime Algorithm based on Matlab)

说明：  Matlab数据拟合 用Matlab进行数据拟合的方法和原理以及程序(Matlab with the Matlab data fitting data fitting methods and principles and procedures)

quadrature phase shift keying demodulation technique

基于Matlab/simulink 的风速仿真模型 对4种风速进行simulink建模 风力发电系统中的风速仿真模型(Use Matlab/simulink simulation software to establish a mathematical model for the four parts of the wind speed.)

simulation of optic fiber link budget analysis is to feed input as attenuation loss, connection loss , system margin, transmitted power and length of the fiber

pdf格式。matlab简介+MATLAB命令大全。入门级教程，小巧精悍。(pdf format. About+MATLAB matlab command Daquan. Entry-level tutorial, small and lean.)

计算 两个Guassian Mixture Model的KL-Divergence(calculating the KL-divergence between two Gaussian Mixtures)

7.5 积分一步的变步长龙格-库塔法grkt2.c 7.6 积分一步的变步长基尔法ggil1.c 7.7 全区间积分的变步长基尔法ggil2.c 7.8 全区间积分的变步长默森法gmrsn.c 7.9 积分一步的连分式法gpbs1.c 7.10 全区间积分的连分式法gpbs2.c(7.5 Integral-step variable step-queue grid- Kutta method grkt2.c 7.6 Integral variable step by step Kiel France ggil1.c 7.7 points between the region variable step-size Kiel France ggil2.c 7.8 points between the region variable step-size Merson method gmrsn.c 7.9 integral step in continued fractions method gpbs1.c 7.10 points between the region' s continued fractions method gpbs2.c)