c2_ejemplo_barra_con_carga_axial_exacta_vs_bvp4c

基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法，非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)

自己编写的递推增广最小二乘算法，有意者可以参考(I have written Recursive Extended Least Squares algorithm, Interested parties can refer to the)

DSP上用MCMA算法设计自适应均衡器学通信的可以看看，在MATLAB中有所涉及。(DSP algorithm design on the use of MCMA learn communication adaptive equalizer can see, in MATLAB, has been involved.)

基于李雅普诺夫的睡眠脑电动力学分析 核心算法程序。(Lyapunov-based kinetic analysis of sleep EEG procedures for the core algorithm.)

本书介绍了主成分分析法中重要概念，已经大量应用实例，特别适合学习模式识别的人。(This book describes the principal components analysis of important concepts, has a large number of examples, especially for people learning pattern recognition.)

十进制遗传算法matlab程序,该程序主要实现十进制下的遗传算法.(Decimal genetic algorithm matlab program, the program is primarily to achieve the decimal under the genetic algorithm.)

空间电压矢量PWM控制中电机模型的设计与实现(Design and Implementation of the space voltage vector PWM control of the motor model)

基于信噪比SNR的加噪降噪、滤波算法源程序(Based on the SNR of adding noise noise reduction, filtering algorithm source)

matlab一个入门级ppt，希望有用！ (matlab an entry-level ppt, hope useful!)

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.)