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说明：  matlab与 人工神经网络2007 配套源程序(matlab and artificial neural network supporting source, 2007)

电子工业出版社葛哲学的matlab时频分析及应用一书，配合matlab时频分析工具箱函数使用。(matlab time-frequency analysis and application. it s a pdf file.)

用有限元方法求解一维边值问题的matlab程序(With one-dimensional finite element method for solving boundary value problems of the matlab program)

基于神经网络的SVPWM逆变,经典案列，经测试没问题，运行很好。 SVPWM inverter based on the neural network, the classic case, the test is no problem, very good. ( SVPWM inverter based on the neural network, the classic case, the test is no problem, very good. )

simple mesh generation in matlab

this file compute lagg on arrays

电力电子中使用的单相控制系统互补双管驱动仿真模型(Power 1phase PWM)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

一本很有用的书，数字信号处理及其Matlab实现(A very useful book, digital signal processing and Matlab implementation)

捷联惯导Matlab仿真产生经昂及度纬度俯仰角等图形(Matlab simulation SINS)