gmsk2

说明：  包括模糊聚类分析数据各种标准化变换、模糊聚类分析建立模糊相似矩阵的各种方法(Fuzzy Cluster Analysis, including a variety of standardized data transformation, fuzzy cluster analysis to establish fuzzy similar matrix of the various methods)

本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。　(This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy)

模糊PID自适应控制,希望大家给出建议 (fuzzy pid control)

文件最前面标有svpwm的表示该文件：三相电源先通过二极管整流，在用IGBT以svpwm方式三相逆变，驱动电机运转。 其他的都是simulink中对一些常用模块的功能进行比较简单的练习(File front marked with svpwm representation of the file: the first three-phase power rectifier diode, IGBT svpwm three-phase inverter drive motor running. Simple exercises are simulink some commonly used module functions)

robot model, using robotic toolbox of matlab

实现了正交匹配追踪算法的matlab编程(To achieve the orthogonal matching pursuit algorithm matlab programming)

It is a file which have matlab code for calculation of geometrical area such as circle,ellipse etc

matlab数字图象处理 matlab数字图象处理 (Matlab digital image processing digital image processing Matlab Matlab digital image processing)

基于retinex的图像增强算法，多尺度msr，已验证(Image enhancement algorithm based on retinex, multi-scale msr, has been verified)

....瑞利平坦衰变信道.doc ....channel_model ....AS2sigma_gaussian_90.mat ....AS2sigma_gaussian_180.mat ....AS2sigma_laplacian_90.mat ....correlation.m ....dialog.m ....erfcomp.m ....geometry2correlation.m ....Rxx_gaussian.m ....Rxx_laplacian.m ....Rxy_gaussian.m (.... Rayleigh flat decay channel. Doc .... channel_model .... AS2sigma_gaussian_90.mat .... AS2sigma_gaussian_180.mat .... AS2sigma_laplacian_90.mat .... correlation.m .... dialog. m .... erfcomp.m .... geometry2correlation.m .... Rxx_gaussian.m .... Rxx_laplacian.m .... Rxy_gaussian.m)